the sandbox
Synthetic firms. Real R&D.
The biggest blocker to legal AI research and evaluation is safe access to real firm data, which is confidential, privileged, or both. Nexlaw Labs sandboxes remove that constraint: a complete synthetic firm to build against, test on, and evaluate, with no client data at risk.
FirmGen decodes the factors that determine the size, shape, and focus of every firm, each anchored in published research and reported market economics, then compiles them into the full stack a firm runs on: practice management, HR, compensation, planning, experience, and documents. The ledger reconciles the whole way, worked to billed to collected.
Start with one of the pre-built sandboxes below, or read more about the FirmGen and Harvest projects behind them.
Elite Institutional
The white-shoe elite — Cravath, Davis Polk, Sullivan & Cromwell. Small, ultra-premium, bet-the-company work.
$1.07B · $9.10M PPEP · 484 tk · 2 offices
AI-Native
Lean AI-native shops in the Crosby and Garfield Law mold: a fraction of the headcount, work priced and delivered by outcome instead of the hour.
$797.54M · $4.25M PPEP · 470 tk · 5 offices
Transactional Powerhouse
Deal machines built on premium M&A and private equity — think Kirkland and Paul Weiss.
$4.75B · $7.21M PPEP · 2,605 tk · 29 offices
Super-Regional Generalist
Broad, value-priced firms spanning several US regions, like Husch Blackwell and Nelson Mullins.
$426.29M · $1.11M PPEP · 615 tk · 12 offices
Litigation Powerhouse
Trial firms that take the biggest cases and little else — Quinn Emanuel, Susman Godfrey, Boies Schiller.
$1.22B · $6.23M PPEP · 558 tk · 8 offices
Insurance Defense (Volume)
High-volume defense work for insurers, run on tight budgets — the Lewis Brisbois and Wilson Elser model.
$592.81M · $381K PPEP · 1,182 tk · 36 offices