USCIS Ends Most Telephonic Attorney Appearances: What the New Policy Means for Immigrants, Attorneys, and Access to Justice

Updated June 2026

Quick Answer

Beginning May 18, 2026, USCIS generally requires attorneys and accredited representatives to appear in person at adjustment of status interviews, naturalization interviews, affirmative asylum interviews, and certain NACARA interviews.

The new USCIS attorney interview policy is expected to impact many applicants.

Although immigrants continue to have the right to legal representation, the new policy significantly limits remote attorney participation and may increase costs for applicants who rely on counsel located outside their state. Understanding the USCIS attorney interview policy is crucial for navigating these changes.

The policy appears in USCIS guidance on Preparing for Your Affirmative Asylum Interview.

Key Takeaways

• USCIS generally no longer permits telephonic attorney participation in covered interviews.
• Attorneys must typically appear physically at the interview location.
• USCIS states that exceptions may exist in “limited circumstances,” but has not clearly defined those circumstances.
• The policy may increase legal fees and travel costs for immigrants.Overall, the USCIS attorney interview policy aims to streamline interview processes but raises concerns among immigrant communities.
• The change may reduce access to specialized immigration counsel.
• Federal regulations continue to recognize the right to representation before DHS.
• The policy appears difficult to justify from an efficiency and modernization perspective.
• Critics argue that the policy reflects a broader trend toward increasing procedural burdens in immigration adjudications.

 

What Exactly Changed?

USCIS now generally requires attorneys and accredited representatives to attend covered interviews in person.

The policy affects:

Adjustment of Status Interviews

Including:

• marriage-based green cards;
• family-sponsored green cards;
• employment-based green cards;
• diversity visa adjustment cases.

Naturalization Interviews

Including N-400 examinations involving:

• criminal history issues;
• selective service concerns;
• false claims to U.S. citizenship;
• unlawful voting allegations;
• lengthy absences from the United States.

Affirmative Asylum Interviews

The policy applies to interviews conducted by USCIS asylum offices.

NACARA Interviews

The policy also extends to certain NACARA proceedings.

USCIS announced the change without publishing a detailed explanation of what constitutes the “limited circumstances” under which remote participation may still be permitted.

What Has Not Changed?

Many reports incorrectly suggest that USCIS has prohibited attorneys from participating in interviews.

That is not accurate.

Applicants still have the right to legal representation.

Attorneys may still:

• file Form G-28;
• receive notices;
• prepare clients;
• submit evidence;
• attend interviews;
• raise legal concerns;
• advocate on behalf of clients.

The change concerns the method of participation.

In most cases, USCIS now requires physical attendance rather than telephonic participation.

What Are the “Limited Circumstances” Exceptions?

One of the most significant unanswered questions surrounding the new USCIS policy is the meaning of the phrase “limited circumstances.”

USCIS has announced that attorneys and accredited representatives generally may not participate remotely in covered interviews, but the agency has not publicly defined:

• what qualifies as a limited circumstance;
• how requests should be submitted;
• what evidence should accompany a request;
• who makes the decision;
• whether denials may be appealed;
• whether different field offices may apply different standards.

As of this writing, USCIS has provided little public guidance.

That uncertainty leaves applicants and attorneys attempting to predict what situations might justify an exception.

Circumstances That May Support a Remote Participation Request

Although USCIS has not established formal criteria, several situations appear likely to present stronger arguments.

Serious Medical Issues

An attorney suffering from a significant medical condition may have a compelling basis for requesting remote participation.

Examples may include:

• recent surgery;
• hospitalization;
• serious illness;
• physician-imposed travel restrictions;
• immunocompromised conditions.

Supporting documentation from a treating physician may strengthen the request.

Disability Accommodations

Attorneys with disabilities that substantially impair travel may have a strong argument for remote participation.

Potential examples include:

• mobility impairments;
• chronic medical conditions;
• disabilities requiring specialized accommodations.

Documentation supporting the accommodation request may be helpful.

Extraordinary Travel Burdens

The strongest practical arguments may arise where physical attendance would impose unusual burdens.

Examples might include:

• cross-country travel;
• international travel complications;
• severe weather disruptions;
• transportation emergencies;
• natural disasters.

While distance alone may not be sufficient, extraordinary travel obstacles could support an exception request.

Specialized Counsel in High-Stakes Cases

Another potential argument involves highly specialized representation.

Examples may include:

• EB-1A Extraordinary Ability cases;
• National Interest Waiver matters;
• denaturalization concerns;
• false claim to citizenship allegations;
• unlawful voting allegations;
• national security issues;
• complex asylum claims.

Applicants may argue that requiring physical attendance would effectively deprive them of meaningful access to the counsel they selected.

Whether USCIS will accept this argument remains unclear.

Asylum Cases Involving Vulnerable Applicants

Certain affirmative asylum cases may present compelling circumstances.

Examples could include:

• severe trauma;
• mental health conditions;
• interpreter complications;
• vulnerable populations;
• unusually complex evidentiary issues.

Attorneys may argue that remote participation would facilitate a fair and accurate interview without creating administrative burdens.

Emergencies Arising After Scheduling

Unexpected events occurring shortly before an interview may also justify a request.

Examples include:

• family emergencies;
• sudden illness;
• cancelled flights;
• natural disasters;
• transportation failures.

In these situations, remote participation may be preferable to cancelling and rescheduling the interview.

 

How Should Attorneys Request an Exception?

Because USCIS has not published a formal procedure, practitioners should consider creating a clear written record.

Submit the Request Early

Do not wait until the day of the interview.

Whenever possible, submit the request immediately after receiving the interview notice.

Early requests demonstrate good faith and provide USCIS time to evaluate the circumstances.

Make the Request in Writing

A written request creates documentation that may later become important.

The request should:

• identify the applicant;
• identify the attorney;
• provide the interview date and location;
• explain the specific circumstances;
• explain why remote participation is requested;
• attach supporting evidence where appropriate.

Emphasize Efficiency

This point may be particularly persuasive.

The request should explain that remote participation:

• avoids unnecessary delay;
• prevents rescheduling;
• conserves government resources;
• reduces costs;
• facilitates representation.

If remote participation would allow the interview to proceed as scheduled, that fact should be highlighted.

Cite Representation Rights

Although the new policy generally requires physical attendance, attorneys may wish to reference:

• 8 CFR § 292.5;
• 5 U.S.C. § 555(b).

The purpose is not to challenge USCIS authority but to emphasize the longstanding importance of meaningful attorney participation.

Offer Alternative Formats

Do not limit the request to telephone participation.

Consider offering:

• telephone appearance;
• video appearance;
• Microsoft Teams;
• Webex;
• any platform acceptable to USCIS.

Flexibility may increase the likelihood of approval.

What If USCIS Denies the Request?

If USCIS denies remote participation, attorneys should consider preserving the issue.

Potential steps may include:

• retaining copies of all requests;
• documenting communications with USCIS;
• documenting costs associated with compliance;
• documenting any hardship imposed on the applicant.

This documentation may become important if future litigation challenges the policy or if USCIS later publishes additional guidance.

Richard Herman’s Analysis

The phrase “limited circumstances” may ultimately become the most important part of the entire policy.

A rigid interpretation could dramatically increase costs and reduce access to counsel.

A flexible interpretation could preserve many of the benefits of remote participation while still allowing USCIS discretion in individual cases.

Until USCIS publishes clear standards, applicants and attorneys should assume that remote participation will be the exception rather than the rule and should submit any exception requests as early and as thoroughly as possible.

The reality is that the strongest exception requests will likely be those that demonstrate both hardship and efficiency—showing not only why physical attendance is difficult, but also why remote participation would allow USCIS to conduct the interview fairly, accurately, and without unnecessary delay.

 

Immigration Law Has Long Recognized the Importance of Legal Representation

The significance of the policy becomes clearer when viewed against the legal framework governing representation before DHS.

Federal Regulations Protect Representation Rights

The foundational regulation is 8 CFR § 292.5(b).

The regulation provides:

Whenever an examination is provided for in this chapter, the person involved shall have the right to be represented by an attorney or representative.

Importantly, the regulation contemplates active participation by counsel.

Attorneys may:

• introduce evidence;
• make objections;
• examine witnesses;
• cross-examine witnesses;
• submit briefs.

This is not the language of a system that views attorneys as passive observers.

It is the language of a system that recognizes representation as an important procedural safeguard.

Another key regulation is 8 CFR § 292.1, which identifies the attorneys and accredited representatives authorized to appear before DHS.

USCIS Built an Entire System Around Attorney Representation

USCIS has long recognized the importance of legal representation through Form G-28, Notice of Entry of Appearance as Attorney or Accredited Representative.

The agency’s representation framework assumes that attorneys play a meaningful role in helping applicants navigate increasingly complex immigration laws.

Whether the case involves:

• adjustment of status;
• naturalization;
• asylum;
• waivers;
• humanitarian relief;

USCIS has historically facilitated attorney participation rather than discouraged it.

An Important Historical Fact Most Commentators Have Missed

One of the most overlooked aspects of this story is that USCIS previously moved in the opposite direction.

In 2022, USCIS implemented a pilot program allowing remote attorney participation in asylum interviews.

The agency’s pilot documentation remains publicly available through the USCIS Remote Attorney Participation Pilot Program.

The pilot explicitly recognized that asylum applicants have the right to have an attorney present at their interviews.

This creates an obvious question:

If remote participation was sufficiently beneficial to justify a USCIS pilot program in 2022, what evidence now justifies eliminating it in 2026?

To date, USCIS has not publicly provided a detailed explanation.

The Board of Immigration Appeals Has Long Recognized That Attorneys Matter

Immigration law contains an entire body of precedent recognizing the importance of competent legal representation.

The leading case is Matter of Lozada, 19 I&N Dec. 637 (BIA 1988).

Lozada established the framework for reopening immigration cases based on ineffective assistance of counsel.

The significance of Lozada extends far beyond motions to reopen.

The case reflects a broader principle:

Attorney performance affects immigration outcomes.

If legal representation did not matter, immigration courts would have little reason to reopen cases because of attorney misconduct or attorney error.

The existence of ineffective-assistance doctrines demonstrates that immigration law recognizes counsel as a meaningful safeguard against erroneous outcomes.

Federal Administrative Law Also Protects Representation

The principle extends beyond immigration law.

The Administrative Procedure Act recognizes representation rights before federal agencies.

See 5 U.S.C. § 555(b).

For decades, federal administrative law has recognized that legal representation helps promote:

• fairness;
• accuracy;
• procedural integrity;
• informed decision-making.

This broader administrative-law framework reinforces the importance of access to counsel in immigration adjudications.

The Real Issue Is Not Whether Representation Exists

Supporters of the policy may correctly note that immigrants still possess the right to counsel.

The more important question is different:

How meaningful is a right if exercising it becomes substantially more expensive?

The policy does not eliminate representation.

It increases the burden of obtaining representation.

That distinction matters.

The Financial Burden Falls on Immigrants

The most immediate effect of the policy is financial.

Before the policy:

• attorney preparation could occur remotely;
• attorney participation could occur telephonically;
• travel expenses were unnecessary.

After the policy:

Applicants may be responsible for:

• airfare;
• hotels;
• transportation;
• meals;
• attorney travel time;
• additional legal fees.

A single interview may now generate hundreds or even thousands of dollars in additional expenses.

Consider a client in Ohio represented by an attorney in California.

Previously, the attorney could prepare the client remotely and attend by telephone.

Now the client may be required to cover:

• round-trip airfare;
• overnight accommodations;
• local transportation;
• attorney travel time.

For many families, the additional cost may be significant.

For some, it may be prohibitive.

The Policy Reduces Access to Specialized Counsel

Modern immigration practice has become highly specialized.

Many attorneys focus almost exclusively on:

• EB-1A extraordinary ability petitions;
• National Interest Waivers;
• complex asylum cases;
• inadmissibility waivers;
• denaturalization defense;
• false claims to citizenship;
• unlawful voting allegations.

Remote participation allowed applicants to retain the attorney they believed was best qualified, regardless of location.

The new policy may force applicants to choose between:

• specialized counsel located elsewhere; or
• local counsel who can attend without substantial travel expenses.

For many immigrants, that is a significant change.

Lower-Income Immigrants May Be Affected Most

The burden is unlikely to fall equally.

Wealthier applicants may absorb the added costs.

Middle-income families may struggle but proceed.

Many lower-income immigrants may simply decide they cannot afford attorney attendance.

This creates an access-to-justice concern.

The right technically remains available.

The practical ability to exercise that right becomes more difficult.

Why Asylum Cases Raise Special Concerns

The impact may be particularly significant in affirmative asylum cases.

Asylum interviews frequently involve:

• trauma survivors;
• language barriers;
• credibility determinations;
• complex country-condition evidence;
• vulnerable applicants.

Attorneys often help:

• clarify misunderstandings;
• ensure accurate interpretation;
• organize evidence;
• protect procedural fairness.

Many asylum applicants rely on nonprofit organizations and pro bono counsel operating under limited budgets.

Requiring physical attendance may force some organizations to reduce participation because of travel costs and staffing limitations.

The Efficiency Problem

Perhaps the most surprising aspect of the policy is that it appears difficult to justify from an efficiency perspective.

For decades, government agencies have embraced technology to reduce costs and improve access.

Federal courts routinely conduct proceedings remotely.

Immigration courts increasingly utilize video technology.

USCIS encourages:

• online filing;
• electronic communication;
• digital case management.

Telephonic attorney appearances generally:

• reduce travel costs;
• improve scheduling flexibility;
• increase access to counsel;
• conserve resources;
• reduce barriers to representation.

The new policy eliminates many of those benefits.

A Policy That Increases Costs for Everyone

The policy shifts costs from the government to applicants.

Instead of a lawyer participating by telephone, clients may now pay for:

• airfare;
• hotel expenses;
• transportation costs;
• attorney travel time.

The policy also imposes costs on attorneys.

A lawyer who previously devoted one hour to a telephonic interview may now spend an entire day traveling.

Those hours cannot be spent:

• meeting clients;
• preparing cases;
• attending hearings;
• filing motions.

Those costs are often reflected in legal fees.

USCIS May Also Lose Efficiency

Experienced attorneys often make interviews more efficient.

Counsel frequently helps:

• organize evidence;
• narrow issues;
• explain legal questions;
• prevent misunderstandings;
• facilitate communication.

When counsel cannot attend because travel costs are prohibitive, officers may spend more time addressing confusion, requesting additional evidence, or conducting follow-up review.

The policy may therefore increase administrative burdens rather than reduce them.

What Problem Is USCIS Trying to Solve?

A fair question remains unanswered.

USCIS has not publicly identified evidence demonstrating that telephonic attorney participation was causing:

• fraud;
• attorney misconduct;
• operational failures;
• significant delays;
• reduced adjudicative quality.

Without a clearly articulated problem, critics may reasonably ask why the agency chose to impose additional costs and burdens on applicants.

Is This Part of a Larger Trend?

Viewed in isolation, the policy may appear minor.

Viewed alongside other recent developments—including expanded vetting, increased scrutiny of immigration benefits, heightened fraud investigations, and broader discretionary review frameworks—some observers see a larger pattern.

The telephonic-attendance policy does not eliminate any legal right.

But it arguably increases the burden of exercising one.

Critics contend that the cumulative effect of these policies is to make immigration benefits more expensive, more procedurally demanding, and more difficult to obtain.

Richard Herman’s Analysis

The most important question is not whether immigrants still have the right to legal representation.

They do.

The more important question is whether that right remains meaningfully accessible.

For decades, Congress, DHS regulations, USCIS procedures, federal administrative law, the Board of Immigration Appeals, and federal courts have all recognized that attorneys help protect against governmental error.

Technology made it possible for immigrants to access qualified counsel regardless of geography.

The new USCIS policy moves against that trend.

It increases costs.

It increases barriers.

It reduces flexibility.

And it may make specialized representation more difficult to obtain.

For some applicants, the change will be inconvenient.

For others, it may determine whether an attorney is physically present during one of the most important interactions they will ever have with the federal government.

Ultimately, the debate is not about whether the right to counsel still exists.

The debate is about whether meaningful access to that right should depend on an immigrant’s ability to pay for an attorney’s airplane ticket.

 

Frequently Asked Questions About USCIS’s New Attorney Attendance Policy

Does USCIS still allow attorneys at immigration interviews?

Yes. USCIS still allows attorneys and accredited representatives to attend immigration interviews. The policy change does not eliminate the right to legal representation. Instead, USCIS now generally requires attorneys to appear in person rather than participate remotely.

When did the new USCIS attorney attendance policy take effect?

The policy became effective on May 18, 2026. USCIS announced that attorneys and accredited representatives generally may no longer participate remotely in field office interviews, affirmative asylum interviews, and NACARA interviews except in limited circumstances.

What USCIS interviews are affected by the policy?

The policy generally applies to:

• Adjustment of Status (I-485) interviews;
• Marriage-based green card interviews;
• Employment-based green card interviews;
• Naturalization (N-400) interviews;
• Affirmative asylum interviews;
• Certain NACARA interviews.

Can my immigration attorney still participate by telephone?

Possibly, but only in limited circumstances.

USCIS has stated that exceptions may exist, but the agency has not clearly defined:

• what circumstances qualify;
• how requests should be made;
• what evidence may be required;
• who decides whether an exception is granted.

Can my attorney participate by video instead of appearing in person?

As a general rule, USCIS now requires in-person attendance. Applicants should not assume that video participation will be approved unless USCIS specifically authorizes an exception.

Why is this policy controversial?

Critics argue that the policy:

• increases legal costs;
• reduces access to specialized counsel;
• requires unnecessary travel;
• creates barriers to representation;
• undermines efficiency.

Supporters may argue that in-person participation improves consistency and accountability during interviews.

Does the policy eliminate my right to legal representation?

No.

Federal regulations continue to recognize the right to representation before DHS. Applicants may still hire attorneys and accredited representatives to advise them, prepare their cases, submit evidence, and attend interviews.

What regulation protects the right to legal representation before DHS?

The primary regulation is 8 CFR § 292.5(b), which provides that individuals appearing before DHS generally have the right to be represented by an attorney or accredited representative at no expense to the government.

Why is attorney representation important during USCIS interviews?

Attorneys may help:

• prepare applicants for questioning;
• organize evidence;
• clarify legal issues;
• address misunderstandings;
• protect against inaccurate statements;
• respond to officer concerns;
• identify potential inadmissibility issues.

In complex cases, attorney participation can significantly affect the outcome.

Will this policy increase immigration legal fees?

In many cases, yes.

Applicants may now be responsible for:

• attorney travel time;
• airfare;
• hotel expenses;
• transportation costs;
• additional preparation costs.

For some cases, these expenses may increase the overall cost of representation substantially.

Will the policy affect applicants who hire attorneys in other states?

Yes.

The policy may have the greatest impact on applicants represented by attorneys located outside the state where the interview is scheduled.

Previously, telephonic participation allowed applicants to retain specialized counsel regardless of geography.

Now, applicants may need to consider travel expenses when selecting counsel.

Why does this policy affect access to specialized immigration attorneys?

Many immigration attorneys focus on highly specialized areas such as:

• EB-1A Extraordinary Ability;
• National Interest Waivers;
• asylum law;
• inadmissibility waivers;
• denaturalization defense;
• false claims to citizenship;
• unlawful voting cases.

Because these attorneys often represent clients nationwide, requiring in-person attendance may make specialized representation more expensive or less accessible.

Did USCIS previously allow remote attorney participation?

Yes.

USCIS previously implemented a pilot program permitting remote attorney participation in certain asylum interviews. The existence of that program has led some observers to question why USCIS reversed course in 2026.

Does the policy affect asylum seekers?

Yes.

The policy applies to affirmative asylum interviews conducted by USCIS.

Many immigration advocates are particularly concerned because asylum interviews often involve:

• trauma survivors;
• language barriers;
• credibility determinations;
• vulnerable applicants.

Is the policy part of a broader trend in immigration enforcement?

Some observers believe so.

Critics point to recent developments involving:

• increased vetting;
• heightened fraud investigations;
• expanded discretionary review;
• additional interview scrutiny;
• more demanding adjudication procedures.

Others view the attorney-attendance policy as a routine procedural change.

Could the policy be challenged in court?

Potentially.

Future challenges could focus on:

• administrative law principles;
• agency decision-making;
• access-to-counsel concerns;
• procedural fairness issues.

Whether such challenges will be successful remains uncertain.

Should I hire an attorney for my USCIS interview?

Every case is different.

Attorney representation may be particularly valuable if your case involves:

• criminal history;
• prior immigration violations;
• prior visa denials;
• fraud allegations;
• false claims to citizenship;
• unlawful voting issues;
• inadmissibility concerns;
• asylum claims;
• complex family or employment-based immigration matters.

Applicants facing high-stakes interviews should consider consulting experienced immigration counsel before appearing before USCIS.

Need Help Preparing for a USCIS Interview?

USCIS interviews are becoming more consequential, more discretionary, and more procedurally demanding. If your case involves a green card interview, naturalization interview, asylum interview, prior immigration violations, criminal history, alleged fraud, false claims to citizenship, unlawful voting, or prior denials, experienced legal preparation may be critical.

Herman Legal Group helps immigrants, families, professionals, students, employers, and asylum seekers prepare for high-stakes USCIS interviews nationwide.

To discuss your case, schedule a consultation with Herman Legal Group or call 1-800-808-4013.

Resource Directory

Official Government and Legal Authority

• USCIS: Preparing for Your Affirmative Asylum Interview
• USCIS Form G-28, Notice of Entry of Appearance
• 8 CFR § 292.5: Representation and Appearances
• 8 CFR § 292.1: Representation of Others Before DHS
• 5 U.S.C. § 555(b): Administrative Procedure Act Right to Counsel

HLG Resources

• Book a Consultation with Herman Legal Group
• Herman Legal Group Homepage
• Cleveland Immigration Lawyers
• Citizenship and Naturalization Lawyer
• Marriage Green Card 2026 Mega-Guide
• What Happens If Your Adjustment of Status Is Denied?
• Did USCIS Walk Back the I-485 Memo?
• Best Law Firms for Refugee and Asylum Cases
• Media Interview Expert on Immigration

 

 

Can You Use AI to Draft Your Immigration Case? USCIS Risks, RFEs, ICE Pattern-Matching Litigation & Ethical Pitfalls in 2026

Quick Brief

Artificial intelligence has entered immigration law faster than regulation can keep up.

In the past 18–24 months, we have seen a dramatic increase in clients who:

AI-generated evidence in immigration cases has become increasingly prevalent.

• • Draft asylum declarations using ChatGPT

Many are now exploring the implications of AI-generated evidence in immigration cases.

• • Prepare extreme hardship letters with AI assistance

The use of AI-generated evidence in immigration cases raises unique challenges.

• Generate National Interest Waiver (NIW) arguments through prompts
• Translate documents using AI tools
• Ask AI to “strengthen” personal narratives

AI-generated evidence in immigration cases is designed to enhance documentation.

The appeal is obvious: speed, fluency, structure, confidence.

But immigration law is not a writing exercise.

Scrutiny of AI-generated evidence in immigration cases is increasing.

It is a credibility-driven adjudicative system.

And we are now entering a phase where AI-generated uniformity intersects directly with established fraud and credibility doctrine.

Understanding the role of AI-generated evidence in immigration cases is crucial for legal practitioners navigating this landscape.

The issue is no longer theoretical.

It is litigated.

Learn more below and in our short video

Part I: The Legal Framework Already Exists to Challenge “Copied” Stories

Many people believe AI creates a new legal problem.

Gathering AI-generated evidence in immigration cases is not a new challenge.

It doesn’t.

The doctrine was already there.

Matter of R-K-K-: The Inter-Proceeding Similarity Rule

AI-generated evidence in immigration cases can lead to complexities in legal arguments.

In Matter of R-K-K-, 26 I&N Dec. 658 (BIA 2015), the Board of Immigration Appeals held that an immigration judge may rely on “significant similarities between statements submitted by applicants in different proceedings” to support an adverse credibility finding.

This is critical.

The BIA did not require proof of plagiarism software.
It did not require proof of collusion.
It did not require proof of AI use.

The implications of AI-generated evidence in immigration cases must be addressed.

It allowed similarity itself — when significant — to become part of the credibility calculus.

The safeguards required:

1. 1. Notice to the applicant

Judges increasingly assess AI-generated evidence in immigration cases.

1. 1. Opportunity to explain
   2. Totality-of-the-circumstances review

Challenges surrounding AI-generated evidence in immigration cases persist.

But the core doctrine is now settled law.

Similarity can be litigated.

Federal Courts Have Reinforced This Doctrine

Multiple federal circuits have examined cases where:

• • IJs annotated “strikingly similar” passages

AI-generated evidence in immigration cases is scrutinized rigorously by courts.

• • Government counsel introduced other applicants’ affidavits for comparison

The risks associated with AI-generated evidence in immigration cases are significant.

• Structural and linguistic parallels were analyzed

Courts have recognized that:

• • Similar country conditions do not automatically equal identical phrasing

Understanding AI-generated evidence in immigration cases is crucial for all parties involved.

• Identical metaphors, sequencing, and emotional descriptions may be suspect
• Patterned narratives can affect credibility determinations

This doctrine predates generative AI.

AI simply multiplies the risk of linguistic convergence.

AI-generated evidence in immigration cases may affect decision-making processes.

The implications of AI-generated evidence in immigration cases cannot be overstated, as they present both challenges and opportunities.

Part II: The Technology Layer — Text Analytics in Immigration

Now we turn to something that is often misunderstood.

USCIS and Asylum Text Analytics (ATA)

Public reporting and academic research describe a USCIS system known as Asylum Text Analytics (ATA) — designed to detect duplicate or plagiarized language across asylum filings.

The system reportedly:

• • Scans narrative sections

The role of AI-generated evidence in immigration cases is evolving.

• Identifies repeated phrasing
• Flags possible duplication
• Supports fraud detection workflows

This matters because it demonstrates that:

AI-generated evidence in immigration cases highlights the need for vigilance.

The immigration system has already operationalized text comparison.

Even if ATA is used primarily at the affirmative asylum stage, the principle is established:

Narrative similarity is measurable.

Legal standards for AI-generated evidence in immigration cases are still developing.

ICE Litigation Infrastructure

Attorneys from U.S. Immigration and Customs Enforcement, within the Office of the Principal Legal Advisor (OPLA), operate within enterprise-level litigation ecosystems.

ICE has historically used advanced eDiscovery platforms (including Relativity and later Casepoint) capable of:

Understanding the nuances of AI-generated evidence in immigration cases is essential.

• • Large-scale document ingestion
  • Text search across datasets
  • Phrase matching

AI-generated evidence in immigration cases offers significant advantages but also risks.

• Pattern detection
• Structured analytics

No public rule says:

Judges will scrutinize AI-generated evidence in immigration cases closely.

“ICE runs plagiarism software on asylum declarations.”

But the infrastructure to compare documents exists.

And the legal doctrine to use similarities in court exists.

That intersection is what matters.

Part III: How AI Amplifies the Similarity Problem

AI-generated evidence in immigration cases is increasingly common.

Generative AI systems are trained on patterns.

They produce:

• • Predictable narrative arcs

Legal professionals must navigate AI-generated evidence in immigration cases carefully.

• • Common trauma descriptors
  • Standard emotional phrasing

AI-generated evidence in immigration cases requires thorough examination.

• Consistent structural order

Consideration of AI-generated evidence in immigration cases is vital for applicants.

Example pattern AI often produces in asylum declarations:

1. 1. Childhood background
   2. First incident of persecution
   3. Escalation

Challenges associated with AI-generated evidence in immigration cases must be addressed.

The complexities of AI-generated evidence in immigration cases require careful analysis.

1. 1. Police inaction
   2. Threat to life
   3. Flight

AI-generated evidence in immigration cases may shape future regulations.

1. Fear of return

That structure is not illegal.

Legal practitioners must adapt to the rise of AI-generated evidence in immigration cases.

But if dozens of unrelated cases contain:

The implications of AI-generated evidence in immigration cases are profound.

• Identical metaphor usage
• Identical paragraph transitions
• Identical emotional conclusions
• Identical phrasing such as “I fear imminent and irreparable harm upon return”

Pattern recognition becomes easier.

And under R-K-K-, similarity is admissible as part of credibility analysis.

 

Part IV: What ICE Attorneys Are Arguing in Court

We are seeing government counsel argue:

• “The respondent’s declaration substantially mirrors other applications.”
• “The structure and language are formulaic.”
• “The narrative appears templated rather than individualized.”

The argument is framed as:

• Coaching
• Fabrication
• Manufactured narrative
• Lack of independent authorship

Even when AI is not mentioned explicitly, the effect is similar.

Similarity becomes suspicion.

Suspicion becomes credibility damage.

Part V: The Credibility Domino Effect

Under the REAL ID Act, adjudicators may consider:

• Internal consistency
• External consistency
• Plausibility
• Demeanor
• Detail specificity

When similarity is introduced:

1. Judges scrutinize tone and delivery.
2. Minor inconsistencies become magnified.
3. Corroboration expectations increase.
4. Demeanor observations gain weight.
5. Discretion becomes narrower.

And here is the critical appellate reality:

Credibility findings are reviewed under a highly deferential standard.

Once credibility is damaged, reversal is difficult.

Part VI: AI Risks Beyond Asylum

Extreme Hardship (I-601 / I-601A)

We are seeing RFEs referencing:

• Generic hardship language
• Lack of individualized detail
• Overuse of legal buzzwords
• Emotional exaggeration without documentary support

AI often produces phrases like:

• “Cascading socioeconomic collapse”
• “Devastating psychological trauma”
• “Severe emotional disintegration”

If multiple waiver filings contain identical phrases, pattern scrutiny follows.

Hardship cases demand evidentiary integration.

AI cannot:

• Reconcile tax returns with hardship narrative
• Align medical diagnoses with impact analysis
• Evaluate country-specific healthcare access
• Conduct a trauma-informed interview

National Interest Waiver (NIW)

Under Matter of Dhanasar, NIW cases require precise evidentiary framing.

AI hallucination risk includes:

• Fabricated citation metrics
• Invented federal program alignment
• Inflated leadership roles
• Misstated national impact

Misrepresentation — even unintentionally generated — carries permanent inadmissibility consequences.

Part VII: Detectability — Myth vs Reality

There is no public USCIS rule stating:

“We use AI detectors.”

But detectability does not require AI detection software.

Red flags include:

• Overly uniform sentence length
• Predictable transition phrases
• Repetitive emotional descriptors
• Legalistic phrasing inconsistent with education level
• Identical structural sequencing

Experienced adjudicators see patterns daily.

Uniformity is visible.

Part VIII: Ethical Duties of Attorneys

Under ABA Model Rule 1.1 (Competence):

Lawyers must understand the technology they use.

Under Rule 5.3:

Lawyers must supervise nonlawyer assistance — including AI tools.

Blind reliance on AI risks:

• Submitting hallucinated authority
• Inserting inaccurate factual claims
• Producing templated affidavits
• Failing to protect client credibility

At Herman Legal Group, AI may assist brainstorming — but:

• Every citation is verified.
• Every claim is documented.
• Every narrative is individualized.
• Every declaration is interview-tested.

Immigration is litigation.

Not content creation.

Part IX: The Regulatory Gap — And Why It Won’t Last

As of 2026:

• No formal AI disclosure requirement exists.
• No published USCIS AI-authorship rule exists.
• No precedent decision squarely addresses AI drafting.

But:

• R-K-K- authorizes similarity scrutiny.
• Text analytics systems exist.
• Enterprise litigation tools exist.
• Fraud detection infrastructure exists.

The enforcement pathway is already legally grounded.

Policy formalization is likely to follow patterns of abuse.

Strategic Inoculation: How to Protect Your Case

If AI is used at all, the filing must:

1. Be rewritten in natural voice
2. Align precisely with documentary evidence
3. Avoid legal buzzword inflation
4. Eliminate structural templating
5. Be stress-tested for cross-examination
6. Be citation-verified manually
7. Be reviewed by experienced counsel

Authenticity is protective.

Uniformity is dangerous.

What Happens If the Government Accuses You of Using a Templated or Copied Declaration?

A Litigation Defense Strategy Under Matter of R-K-K-

If ICE or a DHS trial attorney argues that your asylum declaration “substantially matches” other filings, your case does not automatically fail.

But it becomes a credibility defense case.

Under Matter of R-K-K-, 26 I&N Dec. 658 (BIA 2015), the Board of Immigration Appeals established that immigration judges may consider significant similarities between statements in different proceedings when making credibility determinations.

However, the BIA also imposed procedural safeguards:

1. The applicant must receive notice of the alleged similarities.

2. The applicant must have an opportunity to explain.

3. The judge must evaluate the totality of circumstances.

This framework is critical.

Similarity is not automatic fraud.

But it can shift the dynamics of the case.

Step One: Demand Specificity From the Government

When similarity is alleged, experienced counsel must require the government to identify:

• The exact passages claimed to be similar

• The comparison documents

• The degree of overlap

• Whether the similarity is structural, linguistic, or factual

General statements such as “this looks templated” are not enough.

The government must articulate specific comparisons.

Step Two: Distinguish Shared Conditions From Shared Authorship

Many asylum applicants from the same region may experience:

• Similar police tactics

• Similar militia threats

• Similar detention conditions

• Similar political repression

Country conditions reports from the U.S. Department of State frequently document widespread patterns of harm.

The legal distinction is this:

Shared persecution patterns are legitimate.
Identical language patterns raise suspicion.

The defense strategy is to highlight:

• Unique dates

• Unique emotional reactions

• Unique geographic details

• Unique corroborating documents

Individualization defeats templating allegations.

Step Three: Strengthen Corroboration

Once similarity is raised, corroboration becomes decisive.

That includes:

• Medical records

• Arrest documentation

• Police reports

• Witness affidavits

• News articles

• Psychological evaluations

• Expert testimony

When independent evidence aligns with the narrative, similarity arguments weaken significantly.

Step Four: Prepare for Cross-Examination

If a similarity argument is introduced, the applicant must be able to:

• Explain how the declaration was prepared

• Describe events in their own words

• Provide consistent oral testimony

• Demonstrate independent knowledge of the facts

Written narrative and in-court testimony must align.

This is where AI-generated over-polishing becomes dangerous.

A declaration must sound like the applicant — not like a law review article.

The Critical Reality

Credibility findings are reviewed under a highly deferential standard on appeal.

If an immigration judge makes an adverse credibility finding supported by articulated similarities, overturning that decision is extremely difficult.

That is why similarity defense must be proactive — not reactive.

At Herman Legal Group, we treat every declaration as a litigation document from day one.

The Future of AI in Immigration Enforcement (2027–2028 Outlook)

We are in Phase One of AI use in immigration.

Phase Two will likely involve formal regulatory response.

Based on current trends, several developments are plausible.

1. Mandatory AI Disclosure Requirements

USCIS could introduce a certification requiring applicants or attorneys to disclose whether generative AI was used in drafting narrative submissions.

Such certifications could mirror existing perjury language and impose additional verification obligations.

2. Structured Narrative Forms

To reduce narrative uniformity risk, USCIS may move toward:

• Standardized declaration templates

• Guided digital intake systems

• Structured text-entry fields

Reducing free-form narrative length reduces similarity analysis complexity.

3. Expanded Text Analytics Integration

Public reporting has described systems such as Asylum Text Analytics (ATA), designed to flag duplicate language patterns.

Given existing infrastructure, agencies could:

• Expand automated similarity scoring

• Flag high-overlap narratives

• Trigger Fraud Detection and National Security review

• Integrate similarity flags into case management systems

No formal policy has announced this expansion.

But the technological capability exists.

4. Attorney Certification Rules

Professional responsibility standards are evolving.

The American Bar Association has already emphasized that lawyers must understand and supervise AI use.

Future EOIR or bar-level rules could require:

• Affirmation of AI review

• Certification of independent verification

• Documentation of human authorship

Immigration law will not remain outside AI governance indefinitely.

The Strategic Takeaway

Silence from USCIS today does not mean tolerance tomorrow.

The regulatory gap is temporary.

Practices adopted now should assume future scrutiny.

AI vs. Notarios: A Warning From Immigration History

The risk of templated asylum narratives is not new.

Long before generative AI, the immigration system encountered fraud rings involving:

• Notarios

• Unlicensed preparers

• Boilerplate persecution templates

• Mass-produced declarations

These schemes often involved identical stories submitted by multiple applicants.

Immigration judges became familiar with:

• Repeated metaphors

• Identical narrative arcs

• Copy-and-paste political persecution claims

Those cases resulted in:

• Denials

• Fraud findings

• Referral for criminal investigation

• Permanent immigration consequences

Generative AI introduces a modern parallel.

Instead of human-run template mills, we now have automated narrative generation capable of producing highly similar outputs at scale.

The technology is different.

The pattern risk is not.

Why This Comparison Matters

When adjudicators encounter similarity, they do not ask:

“Was this written by AI?”

They ask:

“Does this resemble prior templated filings?”

Immigration history shows that mass-produced narratives trigger skepticism.

AI makes mass production easier.

Which means individualized drafting is more important than ever.

Frequently Asked Questions (FAQ): AI-Generated Evidence in Immigration Cases (2026 Guide)

Can I use ChatGPT to write my green card application?

Yes, you may use AI tools like ChatGPT for brainstorming or drafting structure. However, you are legally responsible for everything submitted to the U.S. Citizenship and Immigration Services (USCIS).

If AI generates:

• Incorrect facts

• Inflated achievements

• Fabricated legal citations

• Misstated immigration standards

You — not the software — bear the consequences.

Every statement in a green card application is submitted under penalty of perjury. AI assistance does not excuse errors.

---

Is it illegal to use AI for immigration forms?

No federal statute prohibits using AI to help draft immigration materials.

However, submitting false or misleading information can trigger inadmissibility under INA § 212(a)(6)(C)(i) for misrepresentation.

The legal issue is not AI use.
The legal issue is accuracy, truthfulness, and credibility.

---

Will USCIS detect AI-generated writing?

There is no publicly announced USCIS policy requiring AI detection or disclosure.

However:

• Officers are trained to identify boilerplate language.

• Narrative uniformity across filings is noticeable.

• Inconsistencies between written submissions and interviews are scrutinized.

• Fraud detection infrastructure exists.

Detectability does not require an “AI detector.”
It requires experienced adjudicators recognizing patterns.

---

Are ICE attorneys arguing that asylum stories are copied?

Yes.

Under Matter of R-K-K-, 26 I&N Dec. 658 (BIA 2015), the Board of Immigration Appeals held that immigration judges may consider significant similarities between statements submitted in different cases.

Attorneys from U.S. Immigration and Customs Enforcement (ICE) have raised arguments that certain asylum declarations:

• Substantially mirror other filings

• Contain formulaic language

• Appear templated

Similarity alone does not prove fraud. But it can affect credibility determinations.

---

What is “inter-proceeding similarity” in asylum cases?

“Inter-proceeding similarity” refers to substantial linguistic overlap between asylum declarations submitted by different applicants in separate cases.

Under Matter of R-K-K-, judges may consider:

• Identical phrasing

• Structural replication

• Shared narrative sequencing

• Repeated metaphors

If similarities are significant, applicants must be given an opportunity to explain them.

---

Does USCIS use software to detect copied asylum applications?

Public reporting has described a USCIS system known as “Asylum Text Analytics” designed to flag duplicate language in asylum filings.

Additionally, immigration litigation offices operate enterprise-level document review systems capable of large-scale text search and comparison.

No public rule states that plagiarism software is routinely applied to every case. However, text comparison at scale is technologically feasible within federal systems.

---

Can using AI hurt my asylum case?

Yes — if it produces:

• Generic persecution language

• Overly polished academic prose inconsistent with your background

• Repetitive structural formatting seen in other cases

• Fabricated country condition statistics

Asylum cases depend heavily on credibility under REAL ID Act standards.

If your written declaration does not align with your testimony, credibility may be damaged.

---

Can AI draft my extreme hardship letter (I-601 / I-601A)?

AI can outline hardship categories. It cannot:

• Integrate medical documentation accurately

• Assess psychological nuance

• Align tax records with financial hardship claims

• Evaluate country-specific healthcare limitations

USCIS frequently issues RFEs for hardship letters that lack individualized detail. Boilerplate emotional language can weaken discretionary review.

---

Is it safe to use AI for a National Interest Waiver (NIW) petition?

Extreme caution is required.

AI has been known to:

• Inflate citation counts

• Fabricate journal impact factors

• Misstate government program alignment

• Overstate leadership roles

NIW petitions are evidence-driven and evaluated under Matter of Dhanasar standards. Any factual inflation may undermine credibility and eligibility.

---

If many people experience similar persecution, why is similarity a problem?

Shared country conditions can produce similar experiences.

The issue arises when language itself is substantially identical across cases.

Judges distinguish between:

• Similar events (which may be legitimate), and

• Identical phrasing or structure (which may raise authorship concerns).

Similarity must be evaluated in context.

---

What happens if ICE argues my declaration matches another case?

Under Matter of R-K-K-, you must be:

1. Notified of the similarities.

2. Given an opportunity to explain.

3. Evaluated under the totality of circumstances.

If credibility is questioned, the burden effectively increases. Corroborating evidence becomes more important.

---

Do immigration judges use AI detection software?

There is no published EOIR policy requiring AI detection software use.

However, judges and government attorneys can:

• Compare filings manually

• Use document review tools

• Analyze structural overlap

• Introduce other declarations for comparison

Pattern recognition does not require advanced AI tools.

---

Can AI-generated citations cause denial?

Yes.

If AI fabricates:

• Federal court decisions

• Board of Immigration Appeals precedents

• Statistical data

• Government program references

Submitting those inaccuracies can undermine the filing and potentially trigger fraud concerns.

All citations must be independently verified.

---

Does using AI violate attorney ethics rules?

Using AI does not automatically violate ethics rules.

However, attorneys must comply with:

• ABA Model Rule 1.1 (Competence)

• Rule 5.3 (Supervision of nonlawyer assistance)

Lawyers must verify AI output, protect confidentiality, and ensure accuracy.

Blind reliance on AI-generated content may expose both attorney and client to harm.

---

Should I tell USCIS that I used AI?

There is currently no mandatory disclosure requirement.

However, whether disclosed or not, the content must be accurate, individualized, and defensible under scrutiny.

The focus should not be disclosure alone.
The focus should be reliability and authenticity.

---

What is the safest way to use AI in an immigration case?

If AI is used at all:

• Use it only for structural brainstorming.

• Rewrite the content entirely in your own voice.

• Verify every fact independently.

• Remove generic or templated phrasing.

• Ensure alignment with documentary evidence.

• Have an experienced immigration attorney review the final version.

AI is a drafting assistant — not a legal strategist.

---

What is the biggest risk of AI in immigration filings?

The biggest risk is credibility damage.

Immigration law is discretionary and adversarial.

If your narrative appears templated, inflated, or inconsistent, it can:

• Trigger RFEs

• Invite cross-examination

• Damage credibility findings

• Undermine discretionary relief

• Complicate appellate review

In immigration law, credibility is currency.

Uniformity is risk.

Final Takeaway

AI is not prohibited in immigration filings.

But the legal system already permits scrutiny of patterned narratives. Text comparison tools exist. Litigation doctrine allows similarity arguments.

Before using AI in:

• Asylum

• Waivers

• NIW petitions

• VAWA affidavits

• Cancellation of removal

You should understand the risk landscape.

At Herman Legal Group, we combine more than three decades of immigration litigation experience with a modern understanding of AI compliance risk.

Because in 2026, technology without legal strategy is exposure.

AI is not illegal.

But immigration is unforgiving.

We are entering an era where:

• Narrative similarity can be litigated.
• Pattern detection is technologically feasible.
• Credibility remains central to relief.
• Appellate deference makes early mistakes costly.

If your declaration reads like twenty others, you are exposed.

If your narrative reflects individualized truth, supported by evidence and structured for adversarial scrutiny, you are protected.

At Herman Legal Group, we understand both immigration law and AI risk.

In 2026, that dual awareness is not optional.

It is essential.

Resource Directory:  AI, Credibility, Similarity Doctrine & Immigration Enforcement

This directory provides authoritative legal sources and government materials related to AI-generated immigration filings, similarity challenges, asylum credibility doctrine, and technology-driven enforcement.

Binding Legal Authorities

Matter of R-K-K-, 26 I&N Dec. 658 (BIA 2015)
Board of Immigration Appeals
Authorizes immigration judges to consider significant similarities between statements in different proceedings when evaluating credibility.
https://www.justice.gov/eoir/file/768196/dl

Matter of Dhanasar, 26 I&N Dec. 884 (BIA 2016)
National Interest Waiver (NIW) framework decision.
https://www.justice.gov/eoir/page/file/920996/download

REAL ID Act – Credibility Standard
8 U.S.C. § 1158(b)(1)(B)(iii)
Outlines factors immigration judges may consider in asylum credibility determinations.
https://uscode.house.gov/view.xhtml?req=granuleid:USC-prelim-title8-section1158

Government Agencies & Official Resources

U.S. Citizenship and Immigration Services (USCIS)
https://www.uscis.gov

Fraud Detection and National Security Directorate (FDNS)
USCIS fraud detection infrastructure.
https://www.uscis.gov

Executive Office for Immigration Review (EOIR)
Immigration court system under the Department of Justice.
https://www.justice.gov/eoir

U.S. Immigration and Customs Enforcement (ICE)
Office of the Principal Legal Advisor (OPLA) litigates removal cases.
https://www.ice.gov

U.S. Department of Homeland Security – Privacy Impact Assessments
Includes documentation on federal eDiscovery and data analytics systems.
https://www.dhs.gov/privacy-impact-assessments

U.S. Department of State – Country Reports on Human Rights Practices
https://www.state.gov/reports-bureau-of-democracy-human-rights-and-labor/

UNHCR Refworld Database
Country conditions and international protection materials.
https://www.refworld.org

AI, Technology & Immigration Enforcement Research

BAJI Report – AI & Immigration Enforcement
Policy research discussing automated systems and text analytics in immigration.
https://baji.org

DHS eDiscovery Privacy Impact Assessment (DHS/ALL/PIA-073)
Discusses enterprise document review and analytics capabilities.
https://www.dhs.gov/publication/privacy-impact-assessment-dhs-all-073-ediscovery

Professional Responsibility & Legal Ethics

American Bar Association – Model Rules of Professional Conduct
Rule 1.1 (Competence), Rule 5.3 (Supervision), Rule 1.6 (Confidentiality)
https://www.americanbar.org/groups/professional_responsibility/publications/model_rules_of_professional_conduct/

Herman Legal Group – AI, Technology & Digital Vetting

The following Herman Legal Group articles analyze how AI, automation, social media screening, and data analytics intersect with immigration adjudications and enforcement.

U.S. Increases Use of AI in Immigration Enforcement — Efficiency, Risks & Transparency
Analysis of how AI systems and automation are being integrated into immigration enforcement and screening.
https://www.lawfirm4immigrants.com/u-s-increases-use-of-ai-in-immigration-enforcement-efficiency-risks-and-the-battle-for-transparency/

DHS Social Media Rule 2026 — Immigrant Digital Vetting Guide
Explains how DHS and USCIS review social media identifiers, conduct digital vetting, and use automated tools in screening.
https://www.lawfirm4immigrants.com/dhs-social-media-rule-2026-immigrant-digital-vetting-guide/

USCIS Vetting Center, High-Risk Countries & Social Media Screening
Breakdown of how USCIS vetting operations incorporate digital review and screening processes.
https://www.lawfirm4immigrants.com/uscis-vetting-center-high-risk-countries-social-media-screening/

USCIS Oath Ceremony Cancellations & Technology-Driven National Security Holds
Explains how expanded vetting systems and automated review processes can delay or halt naturalization cases.
https://www.lawfirm4immigrants.com/herman-legal-group-uscis-oath-ceremony-cancelled-insights/

Immigration Data Sources 2026 – Free, Public & Trusted Government Data
Comprehensive resource on publicly available immigration data used in case development and research.
https://www.lawfirm4immigrants.com/immigration-data-sources-2026-free-public-trusted/

Algorithmic Immigration: Is Artificial Intelligence Shaping USCIS Decisions in 2026?

Quick Answer

Artificial intelligence is no longer theoretical inside the U.S. immigration system. In 2026, it is embedded within the modernization architecture of the Department of Homeland Security (DHS), including systems supporting U.S. Citizenship and Immigration Services (USCIS artificial intelligence 2026).

In the context of USCIS artificial intelligence 2026, this integration is pivotal for enhancing efficiency.

A human officer still signs approvals and denials.

But the path to that human decision increasingly runs through automated systems capable of:

• Screening filings at intake

• Flagging perceived inconsistencies

• Triggering Requests for Evidence (RFEs)

• Routing cases for supervisory or fraud review

• Cross-matching data across federal databases

This structural shift matters. Because when automation influences the front end of adjudication, it can shape timelines, scrutiny levels, documentation burdens, and even outcomes.

This evolution is particularly relevant for USCIS artificial intelligence 2026, impacting how cases are processed.

This article provides a comprehensive analysis grounded in DHS documentation, oversight materials, and real-world filing patterns observed in 2025–2026.

Understanding USCIS artificial intelligence 2026 is crucial for applicants navigating this new landscape.

Check out this short video for more.

 

 

 

DHS Has Publicly Confirmed AI Deployment

The advancements in USCIS artificial intelligence 2026 highlight the future of immigration processing.

DHS maintains a public Artificial Intelligence Use Case Inventory:

DHS AI Use Case Inventory
https://www.dhs.gov/ai/use-case-inventory

The USCIS-specific page appears here:

USCIS AI Use Case Inventory
https://www.dhs.gov/ai/use-case-inventory/uscis

DHS has also published its formal AI governance framework:

These frameworks guide the deployment of USCIS artificial intelligence 2026 across various applications.

DHS Artificial Intelligence Strategy
https://www.dhs.gov/publication/dhs-artificial-intelligence-strategy

These documents confirm that AI systems are used across DHS components for:

• Data analysis

  Data analysis methods now incorporate USCIS artificial intelligence 2026 for enhanced accuracy.

• Risk assessment

• Workflow automation

• Identity resolution

• Fraud detection

  Fraud detection practices are evolving with USCIS artificial intelligence 2026 at the forefront.

• Pattern recognition

• Case triage

USCIS modernization efforts—particularly digitization and electronic filing—create the infrastructure necessary for algorithmic screening.

The role of USCIS artificial intelligence 2026 is pivotal in modernizing the immigration process.

USCIS Office of Information Technology
https://www.uscis.gov/about-us/organization/directorates-and-program-offices/office-of-information-technology

The important clarification:

USCIS does not publicly state that AI approves or denies immigration benefits.

Recognizing the impact of USCIS artificial intelligence 2026 is essential for stakeholders.

But AI can influence which cases are flagged, scrutinized, or escalated.

What Algorithmic Influence Looks Like in Practice

USCIS artificial intelligence 2026 brings significant changes to the immigration landscape.

When discussing “AI in immigration,” it is important to avoid sensationalism.

The more realistic scenario is this:

Automation performs intake validation and anomaly detection.
Human officers review outputs generated by those systems.

That influence can appear in:

• Instant RFEs

• Escalation to FDNS

• Pattern-based scrutiny of employer filings

• Cross-form inconsistency flags

• Social media vetting workflows

Fraud Detection and National Security Directorate
https://www.uscis.gov/about-us/directorates-and-program-offices/fraud-detection-and-national-security-directorate

Understanding how USCIS artificial intelligence 2026 affects workflows is critical.

Automation does not replace the officer.

But it can determine what the officer sees first.

This highlights the importance of adapting to USCIS artificial intelligence 2026.

A Field-Level Indicator: Same-Day RFEs on Concurrent Adjustment Filings

Note: The following reflects patterns observed in real HLG filings.

The emergence of same-day RFEs is a direct result of USCIS artificial intelligence 2026.

At Herman Legal Group, we have observed a development that was historically uncommon.

In several concurrent adjustment filings—including:

• Form I-485

• Form I-130

• Form I-864

• Form I-765

—we received:

• Receipt notices

• And RFEs

• Issued the same day

The RFEs were directed at Form I-864 (Affidavit of Support).

Critically:

The alleged deficiencies were incorrect.

The RFEs claimed income deficiencies that did not exist based on:

• Properly calculated household size

• Accurate adjusted gross income

• Correctly attached IRS transcripts

• Sufficient qualifying income

Historically, I-864 review required substantive officer evaluation.

Awareness of USCIS artificial intelligence 2026 can lead to better filing strategies.

An officer needed time to:

• Review income lines

• Calculate poverty guideline thresholds

• Confirm joint sponsor logic

• Compare transcripts to reported income

The emergence of same-day RFEs—issued effectively simultaneously with receipt generation—suggests something different:

Automated intake screening may be parsing I-864 data immediately upon digitization.

If a system:

• Misreads IRS transcript formatting

• Confuses adjusted gross income vs total income

• Misinterprets household size entries

• Fails to detect joint sponsor logic

It may trigger a deficiency flag instantly.

Such automation underscores the importance of USCIS artificial intelligence 2026.

That flag may then auto-generate a templated RFE.

A human officer may later sign the RFE—but the initial deficiency signal may originate algorithmically.

This would explain:

• Identical template language

• Immediate issuance

• Lack of individualized analysis

• Incorrect financial conclusions

  These trends show the impact of USCIS artificial intelligence 2026 on filing practices.

In each instance, the RFE was resolved by response.

But the pattern suggests intake-level automation influencing adjudicative workflow.

This is consistent with DHS’s modernization objectives and AI-enabled triage systems.

Why This Matters

When intake becomes algorithm-assisted:

Errors scale faster.

Instead of waiting weeks for officer review, a machine-generated RFE can issue immediately.

That changes:

• Filing strategy

• Documentation precision

• Risk exposure

  Clients must consider how USCIS artificial intelligence 2026 may influence their cases.

• Client expectations

Even if corrected later, an erroneous RFE can:

• Delay work authorization

• Delay travel authorization

• Increase stress

• Trigger additional review layers

Automation does not need to “decide” the case to materially affect it.

Administrative Law and Transparency Concerns

If AI influences:

The implications of USCIS artificial intelligence 2026 raise several legal questions.

• Which cases are flagged

• Which forms are deemed deficient

• Which employers are escalated

Then several legal questions arise:

1. Are applicants informed when algorithmic screening triggers action?

2. Can underlying model logic be requested under FOIA?

3. Is algorithmic flagging reviewable under the Administrative Procedure Act?

4. If bias exists, what remedies are available?

Freedom of Information Act
https://www.foia.gov

Administrative Procedure Act Overview
https://www.justice.gov/jmd/administrative-procedure-act-5-usc-551-et-seq

These governance structures will be essential for the future of USCIS artificial intelligence 2026.

DHS oversight structures emphasize governance and accountability:

DHS Office of Inspector General
https://www.oig.dhs.gov/reports

But transparency into specific adjudication-support systems remains limited.

Future litigation may test:

• Disclosure obligations

• Bias analysis

  The evolution of USCIS artificial intelligence 2026 necessitates a reevaluation of bias management.

• Error rate auditing

• Procedural fairness standards

Social Media and Digital Vetting

DHS has authority to collect social media identifiers in immigration processes.

Automation makes cross-analysis scalable.

HLG has addressed vetting and screening concerns here:

https://www.lawfirm4immigrants.com/uscis-vetting-center-high-risk-countries-social-media-screening/

Consistency across:

• Online statements

• Employment claims

• Marital history

  With USCIS artificial intelligence 2026, maintaining consistency is more critical than ever.

• Entry/exit representations

is increasingly critical.

Employment-Based Immigration and Algorithmic Scrutiny

In H-1B and employment-based filings, algorithmic influence may affect:

• Wage clustering detection

• SOC code consistency

• Employer address patterns

• Corporate shell indicators

• Serial petition filings

  USCIS artificial intelligence 2026 impacts the scrutiny of applications significantly.

GAO has encouraged USCIS to strengthen strategic antifraud analysis:

https://www.gao.gov/products/gao-26-108903

In a data-driven environment, statistical outliers attract attention.

Precision in wage documentation and business records is essential.

How to File Safely in an AI-Assisted System

Based on observed patterns:

1. Audit I-864 Calculations Carefully

• Verify adjusted gross income

• Confirm household size logic

• Cross-check IRS transcripts line-by-line

• Clearly explain joint sponsor roles

Assume intake validation may occur instantly.

2. Eliminate Boilerplate

Identical hardship narratives across cases may trigger similarity detection.

Individualization matters.

3. Ensure Cross-Form Consistency

Compare:

• I-130 marital history

• I-485 biographical data

• I-765 employment history

• I-864 financial information

Machines detect contradictions faster than humans.

Understanding USCIS artificial intelligence 2026 will aid in avoiding potential pitfalls.

4. Assume Digital Visibility

Public information may be cross-referenced.

Alignment across platforms reduces risk.

The Structural Shift

Immigration adjudication is evolving from:

Human review → Assisted human review

to:

Automated screening → Human validation

That inversion changes filing strategy.

Preparation must anticipate algorithmic intake scrutiny.

Frequently Asked Questions

Does USCIS use artificial intelligence in 2026?

Yes. DHS publicly maintains an AI Use Case Inventory confirming AI deployment across components, including USCIS.

Does AI approve or deny immigration cases?

No. A human officer signs final decisions. AI may influence screening and routing.

Can AI generate an RFE?

AI systems may flag perceived deficiencies at intake. A human officer issues the RFE, but the initial trigger may be automated.

Has USCIS issued same-day RFEs?

Yes. In practice, some concurrent adjustment filings have generated RFEs the same day as receipt notices. In certain HLG cases, these RFEs were directed at Form I-864 and contained incorrect deficiency claims, suggesting automated intake screening may have played a role.

Can incorrect AI-triggered RFEs be fixed?

Yes. Applicants may respond with documentation clarifying income calculations or correcting perceived discrepancies.

Can applicants challenge algorithmic screening?

Applicants challenge final agency actions through administrative appeal or federal litigation. Access to underlying algorithmic logic may require court intervention.

Conclusion

Artificial intelligence is not replacing immigration officers.

But it is reshaping:

• Intake screening

• Deficiency detection

• Fraud analytics

• Case routing

• Scrutiny intensity

The HLG example of same-day, incorrect I-864 RFEs illustrates how algorithmic intake screening may already be influencing immigration workflows.

In an AI-assisted system, the margin for error narrows.

Precision is protection.
Consistency is credibility.
Preparation must anticipate machine review.

If you would like next, I can:

• Add a journalist-facing section positioning Richard Herman as a national source on algorithmic immigration governance

• Draft optimized Article + FAQPage schema for Rank Math

• Create a compliance checklist section suitable for client download or lead capture

Thus, USCIS artificial intelligence 2026 is reshaping how cases are adjudicated.

For Journalists Covering AI and Immigration Policy

Artificial intelligence in immigration adjudications is rapidly moving from modernization theory to operational reality. Yet most coverage remains surface-level, focusing on:

• Border surveillance technology

• Facial recognition at ports of entry

• Predictive enforcement systems

Very little reporting has examined how AI may be influencing everyday immigration benefits adjudications — including:

• Adjustment of status

• Employment-based petitions

• Affidavit of Support review

• Fraud detection routing

• Same-day RFE issuance patterns

The intersection of algorithmic governance and immigration adjudication raises profound questions:

• Are machine-generated deficiency flags influencing outcomes?

• Is there adequate transparency in DHS AI oversight?

• Can applicants challenge algorithmic screening triggers?

• Are bias audits being conducted and published?

• Does automation alter procedural fairness?

Richard Herman, founder of Herman Legal Group, has been practicing immigration law for more than 30 years and has observed first-hand shifts in adjudication behavior consistent with automated intake validation systems — including same-day RFEs issued simultaneously with receipt notices in concurrent I-485/I-130/I-765 filings.

Richard has long written and spoken about immigration modernization, due process, and the balance between enforcement and fairness. He is available to comment on:

• AI in immigration adjudications

• Algorithmic due process concerns

• Fraud modeling and employer scrutiny

• Social media vetting

• Administrative law implications

• Litigation strategies challenging opaque systems

Richard Herman biography:
https://www.lawfirm4immigrants.com/richard-herman/

Herman Legal Group main site:
https://www.lawfirm4immigrants.com/

Journalists researching:

• “AI in USCIS adjudications”

• “Algorithmic immigration screening”

• “Same-day USCIS RFEs”

• “USCIS automation transparency”

• “Due process and artificial intelligence”

may contact Richard Herman for commentary, background briefings, or case-based analysis.

The next phase of immigration policy debate will not only concern who qualifies — but how machines influence who gets scrutinized.

Compliance Checklist: Filing Immigration Cases in an AI-Assisted System

The following checklist is designed for immigrants, employers, and counsel preparing filings in 2026.

This can be converted into a downloadable PDF resource or intake protocol.

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I. I-864 Affidavit of Support Precision Audit

Before filing:

• Recalculate household size carefully.

• Confirm adjusted gross income line matches IRS transcript.

• Ensure transcript year aligns with form entries.

• Clarify joint sponsor structure explicitly.

• Provide cover explanation if income fluctuates.

• Highlight poverty guideline threshold comparison clearly.

Assume intake validation may parse numeric data immediately.

---

II. Cross-Form Consistency Review

Compare all concurrently filed forms:

• I-130 marital history

• I-485 biographical entries

• I-765 employment history

• I-131 travel history

• I-864 financial data

Confirm:

• Names are spelled identically.

• Dates align across forms.

• Addresses are consistent.

• Employment timelines match.

• Entry/exit history matches CBP records.

Automated systems detect contradictions instantly.

---

III. Employment-Based Petition Safeguards

For H-1B, EB-2, NIW, or PERM-based filings:

• Verify SOC code aligns with job duties.

• Avoid inflated or templated job descriptions.

• Ensure wage level is justified by duties and experience.

• Confirm corporate address legitimacy.

• Document payroll capability.

• Maintain corporate tax and formation documents.

Pattern clustering increases scrutiny risk.

---

IV. Narrative Individualization

Avoid:

• Identical hardship affidavits.

• Copy-paste personal statements.

• Generic trauma descriptions.

Instead:

• Tailor each affidavit to the individual.

• Include fact-specific details.

• Avoid repetitive phrasing across cases.

Similarity detection tools can flag boilerplate narratives.

---

V. Digital Footprint Alignment

Review:

• Public social media profiles.

• LinkedIn employment listings.

• Business websites.

• Public corporate filings.

Confirm consistency with immigration representations.

Assume public information may be reviewed or cross-referenced.

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VI. Filing Strategy Timing

Given automation:

• Double-check submissions before upload.

• Avoid rushed electronic filings with arithmetic errors.

• Ensure PDF scans are clear and machine-readable.

• Label exhibits precisely.

• Include concise legal cover letters explaining calculations.

Machines process quickly. Corrections take longer.

---

VII. RFE Response Protocol

If a same-day or rapid RFE is issued:

• Reassess whether the alleged deficiency reflects a machine parsing error.

• Respond with structured clarification.

• Provide annotated transcript references.

• Avoid emotional language.

• Address the exact statutory requirement cited.

Do not assume the RFE reflects full officer analysis.

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Strategic Takeaway

In an algorithm-assisted immigration system:

Meticulous math prevents machine flags.
Internal consistency reduces anomaly detection.
Individualization protects credibility.
Documentation clarity reduces automated friction.

Artificial intelligence may not decide your case.

But it may decide how your case is treated.

Preparation must now account for both human review and machine screening.

 

Resource Directory: Artificial Intelligence in U.S. Immigration Adjudications (2026)

This curated directory compiles authoritative government sources, independent oversight reports, academic research, nonprofit analysis, media investigations, and Herman Legal Group publications addressing artificial intelligence, algorithmic screening, and automation within DHS and USCIS.

This section is designed for researchers, journalists, litigators, policymakers, and immigration stakeholders seeking primary-source documentation.

I. Official U.S. Government Sources

Department of Homeland Security (DHS)

DHS AI Use Case Inventory
https://www.dhs.gov/ai/use-case-inventory

Public disclosure of artificial intelligence systems deployed across DHS components, including USCIS.

USCIS AI Use Case Inventory Page
https://www.dhs.gov/ai/use-case-inventory/uscis

Details AI applications attributed specifically to USCIS.

DHS Artificial Intelligence Strategy
https://www.dhs.gov/publication/dhs-artificial-intelligence-strategy

Formal governance framework addressing risk management, accountability, and oversight for AI deployment.

DHS Office of Inspector General (OIG) Reports
https://www.oig.dhs.gov/reports

Oversight audits related to DHS technology, modernization, and internal controls.

U.S. Citizenship and Immigration Services (USCIS)

USCIS Office of Information Technology
https://www.uscis.gov/about-us/organization/directorates-and-program-offices/office-of-information-technology

Responsible for digitization, electronic filing infrastructure, and modernization systems that enable automated screening.

Fraud Detection and National Security Directorate (FDNS)
https://www.uscis.gov/about-us/directorates-and-program-offices/fraud-detection-and-national-security-directorate

Explains USCIS fraud analytics and risk-based review structures.

Federal Oversight & Administrative Law

Freedom of Information Act (FOIA)
https://www.foia.gov

Mechanism for requesting agency records, including algorithmic or automated system documentation.

Administrative Procedure Act (APA) Overview
https://www.justice.gov/jmd/administrative-procedure-act-5-usc-551-et-seq

Legal framework governing judicial review of federal agency actions.

Government Accountability Office (GAO) – USCIS Antifraud Analysis
https://www.gao.gov/products/gao-26-108903

Encourages strategic fraud detection enhancements and data analytics integration.

II. Independent & Nonprofit Research

Brennan Center for Justice

AI & Government Accountability
https://www.brennancenter.org

Research on algorithmic governance, due process, and administrative oversight.

---

Electronic Frontier Foundation (EFF)

AI and Government Surveillance
https://www.eff.org/issues/ai

Analysis of automated decision systems, data privacy, and civil liberties implications.

---

Center on Privacy & Technology (Georgetown Law)

Immigration Surveillance Research
https://cdt.org

Research into immigration-related data systems, facial recognition, and algorithmic risk scoring.

---

AI Now Institute (NYU)

Government AI Risk Reports
https://ainowinstitute.org

Independent research into public-sector AI accountability and algorithmic bias.

III. Academic & Policy Research

NIST AI Risk Management Framework
https://www.nist.gov/itl/ai-risk-management-framework

Foundational risk governance guidance influencing federal AI standards.

Stanford Human-Centered AI (HAI)
https://hai.stanford.edu

Research on public-sector AI deployment and institutional accountability.

Brookings Institution – AI & Governance
https://www.brookings.edu/topic/artificial-intelligence/

Policy-forward analysis on algorithmic regulation and federal oversight.

IV. Media Investigations & Reporting

Reuters

Search: “DHS artificial intelligence immigration”
https://www.reuters.com

Investigative reporting on AI use in federal agencies.

---

The Washington Post

Search: “USCIS automation AI screening”
https://www.washingtonpost.com

Coverage of government AI oversight and algorithmic governance.

---

Politico

Search: “DHS AI strategy immigration”
https://www.politico.com

Policy-focused reporting on AI regulation and immigration enforcement technology.

V. Herman Legal Group Articles on AI & Immigration

 

USCIS Vetting Center & Social Media Screening
https://www.lawfirm4immigrants.com/uscis-vetting-center-high-risk-countries-social-media-screening/

Richard Herman Biography & Commentary
https://www.lawfirm4immigrants.com/richard-herman/

VI. Key Themes for Researchers

This directory supports investigation into:

• USCIS artificial intelligence 2026
• Automated intake validation
• Same-day RFE issuance patterns
• I-864 algorithmic parsing concerns
• Fraud detection analytics
• Administrative law challenges
• FOIA requests for algorithm disclosure
• AI bias mitigation in federal agencies
• DHS oversight frameworks
• Immigration due process and automation

VII. How to Use This Directory

For Journalists:

• Cross-reference DHS AI disclosures with observed adjudication trends.
• Investigate transparency gaps between use case inventories and real-world workflow impacts.

For Attorneys:

• Use FOIA strategically.
• Monitor algorithmic consistency patterns across filings.
• Track emerging federal litigation challenging automated decision support systems.

For Policymakers:

• Review GAO and OIG findings.
• Evaluate risk governance alignment with NIST standards.
• Assess transparency in USCIS modernization.

Why This Matters

Artificial intelligence does not need to issue a final denial to influence an immigration outcome.

If automated screening:

• Flags a case,
• Generates an RFE,
• Routes a file to fraud review,
• Or escalates scrutiny,

it materially shapes timelines and burdens.

Understanding official disclosures, independent oversight, and documented patterns is critical for navigating USCIS artificial intelligence 2026.