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The AutonomousDeal Room.

A persistent workspace for M&A execution. Generates client-ready transaction documents, preserves institutional memory, and runs alongside the lawyer from engagement to close.

Private beta for select M&A teams.

The future of M&A is not more associates.

It is the quality of the best associates, available to everybody.

It is UseABI.

The problem with M&A.

Speed & Quality

300–400 associate hours per deal. Every document rebuilt from scratch. Quality varies by who’s staffed. No system produces the actual work product.

Knowledge Loss

Deal context lives in people’s heads. 20% annual associate attrition. Each mid-level departure costs $1M+. New hires start from zero.

Human Cost

Up to 3,000 billable hours per year per associate. 52% burnout. 33% depression. Associates lose their families, health, and relationships to work that could be automated.

300–400 hrsper deal
$1M+per departure
$9.1B+annual attrition cost

Three problems. One platform.

The product

One workspace. Every transaction document. Every workflow.

UseABI is a persistent workspace for M&A teams. The deal lives inside the product — every document, every issue, every revision. The system executes alongside the lawyer.

Persistent

Deal memory that never dies.

When associates leave, context stays.

Senior Associate Quality

Client-ready documents.

The first-pass work product a senior associate would prepare before partner review.

Firm-Trained

Calibrated to your playbook.

Trained on your firm’s precedent, preferred language, and market positions.

10x Faster

Minutes, not days.

Overnight, not weekends.

See UseABI in action.

See sample output

The value is not reading faster. The value is knowing what matters.

Built by the associate this product was designed to save.

At Greenberg Traurig and prior firms, Abdulrasheed became known for unusually high-speed, high-accuracy execution across complex sponsor-backed M&A transactions.

Over time, a pattern became clear: elite deal teams disproportionately depended on a small number of individuals capable of synthesizing legal, economic, and strategic information under extreme time pressure.

The realization behind UseABI was simple: elite legal judgment should not remain trapped inside overextended humans.

UseABI was built to operationalize that judgment at scale.

ABI

Abdulrasheed Bolaji Ijaodola

Founder & CEO

  • Corporate Associate, Greenberg Traurig LLP — New York
  • PE M&A: Vista Equity Partners, Rhone, Kohlberg, Patient Square Capital, Siris Capital, Riverside, Kelso, Wind Point, and others
  • Platform PE, cross-border, and take-private transactions
  • LL.M., Stanford Law School (Law, Science & Technology)
  • B.L., summa cum laude — 2nd in a national class of 2,500+
  • Licensed in three jurisdictions: New York, California, Nigeria
  • Member, Greenberg Traurig New York AI Committee
  • ~50 closed deals, 3,000+ hours yearly
AU

Adam Usman

Co-Founder & CTO

  • Full-stack engineer with 10+ years building ML and analytics systems in financial services and tech
  • Engineered data platforms serving 50M+ customers at regulated financial institutions
  • Built ML systems that drove $64M+ in revenue
  • Published ML researcher (supply chain, healthcare)
  • M.S. Analytics, Northeastern University

If ABI is okay with the draft, I am okay with it.

Partner, International Law Firm

The quality bar UseABI is built to meet.

I am EXTREMELY impressed by what you’ve been doing on the issues list / purchase agreement markup front.

Partner, Am Law Top-20 Firm

The exact skill UseABI was trained to replicate.

You are performing at an elite level.

Partner, Am Law Top-20 Firm

The most valuable lawyers are not the ones who can read the most documents. They are the ones who can autonomously move the deal forward.

UseABI was built to scale that capability.

Request access

The Deal Room is open.

Request your firm's access. We'll reach out.

Or email partnerships@useabi.ai — we read every note.

Your documents never train a modelU.S.-only data processingEncrypted at rest and in transitRole-based access controlsImmutable audit trailZero data retention on model inference