Let AI do the bulk of legal grunt work, reading data rooms, drafting memos and marking up contracts, so lawyers review and decide instead of spending days on documents.
ScalingStage 5 of 5
Used by most top US law firms; own model Tenet in research preview since Aug 2026.
Updated 9 Sep 2026·Checked 11 Oct·0 updates this week
All-or-nothing quality barA legal memo that misses one issue is not usable; top models still fully pass only about 1 in 5 LAB tasks.
Licence terms on Tenet's baseKimi K3's licence needs a separate deal with Moonshot for services earning over $20M a year, which Harvey exceeds.
Physics limits
Models can invent citationsLanguage models produce fluent text that can cite cases or clauses that don't exist, so every point needs checking against sources.
Long tasks compound errorsOver 50+ steps and 100,000 generated words, small per-step error rates multiply into a high chance of at least one mistake.
How it works
4 parts
Matter
Load the client's documents
A lawyer gives a request and the matter's documents, such as a data room for an acquisition, in a secure vault.
Plan
Split the job
The agent breaks the request into steps: find relevant clauses, check each against the question, note risks.
Execute
Read, search, draft
It reads and cross-checks hundreds of documents with tools and models, then drafts the memo or markup.
Review
Lawyer signs off
Output cites its sources so a lawyer can verify each point before it goes to a client.
Legal AI agents, Tenet legal model, Legal Agent Benchmark
Harvey sells AI agents to law firms and corporate legal teams for research, drafting, contract review and due diligence. The largest legal AI company, valued at $15.5B in Sept 2026.
Used by 80% of the Am Law 100 and five of the Fortune 10, per Harvey.
Tenet (Aug 2026), its first own model, post-trains Kimi K3 for long legal tasks and nearly doubles completion on LAB.
Valuation rose from $8B (Dec 2025) to $11B (Mar 2026) to $15.5B (Sept 2026).
