EB1-Odyssey™

AI Immigration Agent & Case Study

Revolutionizing the EB-1 green card process with an AI-powered agent that automates evidence analysis, eligibility mapping, and petition drafting—built for extraordinary ability cases.

The Challenge

An immigration law practice handling high-skill employment petitions was overwhelmed by the volume and complexity of EB-1 filings.

  • 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:

Reduce preparation time by at least 70% and increase first-pass approval rate to at least 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 Technology
Ingestion Agent Scrapes and normalizes evidence from public sources like Google Scholar and news archives. Secure APIs + proprietary parsing engine
Criteria Mapper Matches documents to USCIS EB-1 criteria and scores them. AI classifier trained on prior cases
Citation Graph Agent Builds a force-directed graph of forward citations to prove “impact”, auto-generates visual briefs. Graph engine + interactive visuals
Peer-Letter Generator Drafts tailored expert opinion letters by semantic search over academic corpora. Secure LLM + internal templates
Compliance Auditor Flags weak points that trigger RFEs and suggests risk-mitigation exhibits. Legal rules engine + case matching AI
RFE Response Bot Reads the USCIS letter, extracts deficiencies, and assembles a response packet overnight. Document QA + retrieval
Affidavit Composer (New July 2025) Generates I-864 affidavits or declarations, integrates with notaries and handles secure submission. AI form engine + e-filing automation

Workflow in Action

Onboarding – Client uploads résumé and key files; the system ingests and normalizes all evidence in minutes.

Auto-Tagging – AI maps each document to USCIS criteria, flags any gaps, and recommends the strongest exhibits to close them.

Letters & Affidavits – Expert-opinion drafts and I-864 affidavits are generated, then queued for attorney review; clients complete identity verification through a built-in remote-notary link.

Review & Submit – One attorney clicks, seals the bar-coded packet, and e-files it to the USCIS Lockbox, typically within the same business day.

Final packet auto-assembled with hyperlinked table of contents and a concise red-flag summary for attorney review, ready for same-day submission.

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.

Hallucination Guard

Every auto-generated paragraph includes a source footnote.

Human-in-the-loop

Final approval still needs an attorney. Agent confidence below 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., General Counsel, IGT