A 120B open-weights model beat a frontier model at drafting law. It was not the better reasoner. It was the better informed.
Harvey Labs legal benchmark, 82 criteria. Two independent judges. The rubric never entered the system that did the work.
| Run | Score | Cost | Time |
|---|---|---|---|
| Harness + firm memorygpt-oss-120b · open weights | 51.8% | $0.033 | 13m 46s |
| Frontier modelhigh reasoning · same documents | 45.1% | $2.50 | 18m 00s |
| Same model, no harnessone call · documents pasted | ≈39% | $0.0037 | 1m 22s |
What it stands on
A pile of past deals is not firm knowledge. It becomes firm knowledge when every position taken can be found, cited and checked.
Why it compounds
You buy the reasoning. You keep the answer. The reasoning is thrown away.
A partner writes you missed 9.9, it bars sandbagging, that’s a deal-breaker. It teaches the model once, then dies with the thread. The next matter starts from zero and you buy it again.
Caught instead, that one sentence becomes a rule with a severity floor and a test that runs forever. The next associate never makes the mistake.
What the firm keeps
Every model is a tenant. Swap it the week a better one ships and the firm loses nothing.
Where it lives
Claude, ChatGPT and Google Docs — the places the work already happens. Nothing new to learn, nothing to export.
Captured as it happens
9.7 is 5% / 12 months.
Playbook floor is 7.5% / 15. Below walk-away.
9.12, so escrow is
the only liquid source. Compounds with the shortfall above.
Three streams, one graph: what the model worked out, what the lawyer decided, and what the partner actually changed.