EB1-Odyssey™ AI Product + Case Study
Automating the EB-1 Extraordinary-Ability Green-Card with an AI Immigration Agent
The Challenge
A boutique immigration law firm specializing in startup and tech talent was overwhelmed with EB-1 petitions.
Each file required 400–800 pages of evidence (publications, citations, awards, expert letters).
Manual mapping of USCIS's “10 criteria” took 40–60 attorney hours.
RFE (Request for Evidence) rate for EB-1 had climbed to 38 % nationally, stretching case timelines to 14–18 months.
Goal:
Cut preparation time by ≥70 % and raise first-pass approval to ≥90 %.
The Solution – “Agent EB1-Odyssey”
A multi-agent AI pipeline was developed on top of a retrieval-augmented LLM stack to streamline and accelerate EB-1 petition workflows:
| Agent Role | What it does | Tools |
|---|---|---|
| Ingestion Agent | Scrapes and normalizes evidence from Google Scholar, ORCID, news archives, USPTO, conference sites. | Custom APIs + LLM parsers |
| Criteria Mapper | Matches every document to USCIS 10 EB-1 criteria and assigns a confidence score. | Few-shot classification model fine-tuned on 1,200 prior petitions |
| Citation Graph Agent | Builds a force-directed graph of forward citations to prove “impact”, auto-generates visual briefs. | Neo4j + D3.js |
| Peer-Letter Generator | Drafts tailored expert opinion letters by semantic search over academic corpora. | GPT-4o + email automation |
| Compliance Auditor | Flags weak points that trigger RFEs and suggests risk-mitigation exhibits. | Rules engine + case-law embeddings |
| RFE Response Bot | Reads the USCIS letter, extracts deficiencies, and assembles a response packet overnight. | Document QA + retrieval |
| Affidavit Composer (New July 2025) | Auto-drafts I-864 Affidavit of Support or sworn declarations, schedules remote notary, and e-files to USCIS after attorney approval. | Fillable PDF engine, RON scheduler, USPS Certified API |
Workflow in Action
Onboarding (5 min)
Client uploads CV, Google Scholar link, patent PDFs → Ingestion Agent pulls 142 documents.
Auto-Tagging (12 min)
Criteria Mapper labels 9 out of 10 criteria as “satisfied”; suggests adding GitHub-stars evidence to hit #10.
Letter Generation (25 min)
Peer-Letter Generator identifies three IEEE Fellows; emails are auto-drafted with personalized citation stats.
Affidavit Composer (July 2025 addition)
Pulls 2023–2024 tax transcripts and brokerage statements.
Generates I-864 Affidavit of Support with bar-coded PDF, auto-inserts attorney e-signature placeholder.
Schedules a remote online notary (RON) session for the client, calendar invite, ID verification link, and e-signature portal included.
Attorney clicks “Approve & Seal”; packet e-files to USCIS Lockbox same day.
Final Packet (48 min total)
612-page bundle + affidavit auto-assembled, TOC hyperlinked, red-flag summary for attorney review.
Outcomes (6-month pilot, 52 cases)
| Metric | Before Agent | With Agent EB1-Odyssey | Δ |
|---|---|---|---|
| Attorney hours / petition | 52 h | 11 h | –79% |
| First-pass approval rate | 62% | 94% | +32 pp |
| RFE incidence | 38% | 8% | –30 pp |
| Client NPS | 54 | 91 | +37 |
| Average cash-to-green-card time | 14.5 mo | 9.2 mo | –37% |
| Affidavit turnaround (I-864 or sworn decl.) | 5–7 days | <24 h | –85% |
Revenue Impact: Freed attorney capacity translated into +$1.1 M incremental billings in 6 months without new hires.
Tech & Compliance Highlights
Privacy
All PII tokenized; embeddings stored in SOC-2-compliant vector DB (Pinecone).
Hallucination Guard
Every auto-generated paragraph includes a source footnote.
Human-in-the-loop
Final sign-off still requires an attorney; agent confidence <90 % triggers manual review.
Testimonials
“Agent EB1-Odyssey transformed the most hands-on part of our legal work into a scalable, productized process without sacrificing the white-glove experience our clients depend on.”
— Sarah L., Managing Partner, IGT