Calibrate
Encode human-calibrated judgment, risk tolerances, and edge cases into working logic.
Midtown Labs
The Leading AI for Legal and Compliance
We convert expert judgment into auditable workflows.
Enterprise-Ready AI
General AI can reason. Enterprise systems need validated action: human-calibrated judgment, controlled escalation, and rigorous audit trails.
Execute
Route work through agents, controls, accountable owners, and review loops.
Validate
Produce rigorous audit trails for decisions, escalations, evidence, and outcomes.
Team
Created by leading experts in law, compliance, and AI.
A founding team with experience across public-company legal leadership, venture-backed legal technology, legal scholarship, and applied AI.
Viet D. Dinh
- Chief Legal and Policy Officer at Fox Corporation
- Partner at Kirkland & Ellis; founder of Bancroft PLLC
- Assistant Attorney General of the United States
- Harvard College; Harvard JD
Charlie Hernandez
- California attorney
- Founder of My Pocket Lawyer, backed by Bessemer Venture Partners and Point72 Ventures
- Harvard JD; Harvard MBA
Jonathan Choi
- Professor of Law at WashU
- Co-Founder and Head of AI at Solomon AI, backed by Bessemer Venture Partners
- Attorney at Wachtell, Lipton, Rosen & Katz
- Widely cited researcher on AI, law, and legal analysis
- Dartmouth CS; Yale JD
Deployments
Built around high-stakes enterprise workflows.
Midtown Labs is reshaping compliance work inside large organizations where manual judgment is expensive, fragmented, and difficult to audit.
Conflict checks, intake judgment, and escalation logic across fragmented firm systems.
Vendor risk monitoring and operationally material compliance escalation.
Trade sanctions referrals reviewed against UK, EU, and US rules.
LLC obligations, notices, governance requirements, and consent workflows.
Enterprise legal and compliance workflows that require audit-ready execution.
Evidence sufficiency, SLA tracking, and dispute recovery workflows.