For immigration attorneys

AI that reasons from the law.
The judgment stays yours.

Papers arms your firm with AI that reasons from the legal standard, not from sample filings — so you prepare cases like an AI-native practice while your attorneys keep the judgment, the clients, and the brand.

Assist by Attorney·Incoming prepared case
Verifying…
AM

Dr. Ananya Mehta

EB-2 NIW · Computational biology

Case readiness

Substantial merit & national importanceDocumented
Well-positioned to advance the endeavorDocumented
Benefit of waiver outweighs labor certNeeds support

Included in handoff

Evaluation summary

Three prongs assessed

Evidence workspace

46 exhibits, grouped

Draft petition

8 pages, cited

Questions for counsel

2 open

AI reasoned from the standard. Your firm applies the judgment.

We arm your attorneys. We don't replace them.

Immigration is moving to AI. Papers lets your firm move with it — not by handing your practice to an AI service, but by arming your attorneys with AI that prepares the work and leaves the judgment where it belongs.

Your firm keeps the client

We arm attorneys; we do not replace them. Your firm owns the engagement, the communication, and the continuing relationship.

Judgment stays with counsel

AI can evaluate, organize, and draft. The legal conclusions and filing strategy stay with your attorneys.

Sharing is consent-based

Clients choose which materials to share with a partner attorney, for a specific review. No automatic handoff.

Why our AI

We teach the AI how to think, not what to copy.

Most legal AI is a wrapper. It learns what good filings look like — from samples, style guides, and retrieval over the law — and produces output that looks right. Papers reasons from the standard the work has to meet.

Reasons like an attorney

Issue by issue against the controlling authority — the statute, the regulations, the agency's own policy, and the decisions that bind it — not paragraph by paragraph against a template.

Reasons like an adjudicator

Tests the record against the burden of proof and asks what a neutral adjudicator would conclude. Adjudicator-aware, not advocate-only.

Trained to distill legal reasoning

Built to learn how the law is actually applied, then tag every claim Documented, Inferred, or Unsupported.

Most legal AI — a wrapper

Trained on sample filings

Prompted to match a style

Retrieval over the statutes and rules

Teaches the AI what to do. The output looks right.

Papers — engineered for legal reasoning

01

Reason from the controlling authority, issue by issue

02

Think like the attorney building the case

03

Think like the adjudicator testing the record

04

Tag every claim: Documented, Inferred, or Unsupported

Teaches the AI how to think. The output is right because the reasoning is right.

Don't take our word for it. Read the reasoning.

Our evaluation method is open source. Inspect exactly how the AI reasons, or have your own attorneys and paralegals critique it.

View the open method

Where judgment lives

The subtle errors are the dangerous ones. Your attorneys catch them.

When AI drafts and a professional reviews, the professional spots what the model missed and corrects it. A self-petitioner cannot run that loop — they can only trust the output. So the judgment belongs with counsel, and Papers is built to put your firm exactly there.

AI preparation

1Evaluate the case
2Organize the evidence
3Draft the materials

Handoff — the client chooses what to share, at any stage

Attorney judgment

1Catch what the model missed
2Apply legal judgment
3Own the filing decision

AI prepares. Your attorneys are the harness no model replaces.

The evaluation funnel

Free evaluation is the front door. You get the prepared client.

Papers' public evaluation reaches candidates months before they would call a firm. They keep building in the workspace, and arrive as a structured, consent-shared case — not a cold inquiry.

Free evaluation — the front door

Traditional evaluation

  1. 1Applicant submits a resume
  2. 2Attorney reviews for viability
  3. 3Decision: take, wait, or pass

Applicants who aren't ready to retain have nowhere to go. Most never come back.

With Papers

  1. 1Applicant starts the evaluation in Papers
  2. 2The workspace builds over weeks and months
  3. 3Evidence, drafts, and questions accumulate
  4. Your firm receives a structured record

Applicants who weren't ready at first arrive as clients with months of structured preparation behind them.

Practice growth

Make your firm busier, not just faster.

Other tools help you draft faster on the cases you already have. Papers also brings you cases — and meets clients at the moments they usually handle alone, delay, or never bring to counsel.

Papers for Firms·Client pipeline
Self-preparationWhere your firm enters

Exploring

2
WC

Wei Chen

Mapping NIW pathway
SA

Sofía Almeida

Eligibility check

Building

2
DO

Daniel Okafor

Evidence 40%
PN

Priya Nair

Evidence 70%

Pre-filing review

1
Entry point
AM

Dr. Ananya Mehta

Second-look requested

Petition review

1
JK

Jae-won Kim

Draft in review

RFE / NOID

1
RO

Dr. Rafael Ortiz

NOID · 33 days left

Immigration is flat-fee work — attorney time is the only variable cost. Every hour Papers moves off your attorneys is margin you keep, or a case you finally have the capacity to take.

What your firm receives

A prepared record, not a loose referral.

Not a directory and not a referral marketplace. Papers gives you a consent-based packet with the client's case map, evidence, and draft materials in one place.

Evaluation summary

Pathway fit, the proposed endeavor, documented evidence, assumptions, and the areas needing attorney review.

Case theory · three prongs assessed · flagged items noted

Evidence workspace

Evidence organized so your review starts from structure instead of a folder of scattered documents.

Exhibits grouped by claim, source, and evidentiary role

Draft materials

Petition draft, recommendation letter drafts, exhibit list, response planning, and a submission checklist.

Petition draft · recommendation letters · exhibit list

Attorney review context

The client-selected materials, plus the specific questions and decisions the client wants reviewed.

Applicant questions · consent recorded

Two ways to partner

Start with prepared clients. Grow into an AI-native practice.

Two ways to work with Papers: receive clients who arrive already prepared, or run the whole AI-native workflow under your own brand. We're onboarding a small group on each.

Live today

Available now

Assist by Attorney

Receive applicants who prepared their case in Papers and now want a second legal review or representation.

Consent-based case handoff
Evaluation, evidence, and draft materials included
A small launch group, not an open marketplace

Design partner track

By application

Powered by Papers

Run AI-native evaluation, intake, and case preparation under your own brand, review process, and client relationship.

Firm-branded, white-label workspace
Attorney and paralegal review surface
Your clients, your brand, our AI

Powered by Papers

Your firm, your clients, our AI.

Become an AI-native practice without becoming a tech company — or surrendering your clients to one. White-labeled evaluation, intake, and case preparation under your brand; your attorneys review, comment, and finalize.

AI preparation notes inline

Every passage carries its evidentiary basis, so review starts from the strongest version of the record.

Attorney comments and control

Your team comments, requests evidence, and decides what gets finalized. Nothing files itself.

Controlled visibility

Clients share specific materials, for specific reviews, with consent recorded.

Firm review surface·Dr. Ananya Mehta · EB-2 NIW
Add comment

§ 3. Well-positioned to advance the endeavor

The petitioner has demonstrated advanced expertise in interpretable machine learning for biomarker discovery, with a record of adoption extending beyond her immediate collaborators.

Two independent research groups at Stanford Medical Center and NIH NCI have incorporated her published methodology into their own active studies (Exhibits 12, 13).

1

The record also includes a documented NIH R01 grant award and citation analyses showing above-field-average uptake of her primary methods paper…

AI preparation note

Well-documented passage. Exhibits 12 and 13 both confirm independent adoption. The Prong 3 adoption gap is flagged separately.

1

Attorney comment

Request one additional user letter before finalizing this prong. Two adoptions are strong; a third independent source removes the risk at NOID stage.

Confidentiality & trust

Your client's data stays your client's data.

Recent federal rulings have made it concrete: casual use of public AI tools can forfeit confidentiality — and the privilege that depends on it. Papers is built the other way: enterprise terms, no training on your data, and work that happens inside your firm's control.

Not the consumer tools

Papers runs on enterprise AI under contract — not the public apps whose terms permit training on inputs and disclosure to third parties.

Never used to train a model

Client information, and the work product built from it, is processed under enterprise data terms — not used to improve any model, and held inside Papers' own cloud.

Inside your firm's control

Preparation happens in your firm's workspace, under your attorneys' supervision — the posture courts look to, not an unsupervised public chatbot.

And the lines we don't cross

No automatic handoff of client data
Not an open referral marketplace
No attorney-client relationship via Papers
No guarantee of USCIS outcomes
Filing judgment stays with counsel

Papers is not a law firm and does not advise on privilege; your firm applies its own professional judgment. Data-processing terms and security details are available on request.

Become a partner

Partner with Papers.

We're onboarding immigration attorneys and firms who want prepared clients today — and a voice in the AI-native workflow we build next.

Prepared a case as an applicant? See the NIW productHave questions? Contact us