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7658ea0 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | name: ContractBench
description: >
ContractBench measures how well an AI agent reviews and redlines a commercial contract the way an in-house attorney
would: deciding where to intervene, what to change, what to leave alone, when to ask the counterparty a question and
when to escalate a point to its own side. Each task is a real Word document with grounding documents and a brief; the
agent works in the .docx with tracked changes and comments and is graded against pass-or-fail rubric items written by
the attorney who reviewed the same contract. 350 tasks from 35 scenarios (210 public, 140 held out), five attorneys per
scenario, two negotiation turns. Scores are the weighted rubric pass rate on completed rollouts, 0 to 100;
leaderboard.md in this repository lists the published results.
evaluation_framework: harbor
tasks:
- id: contractbench_private
config: default
split: test
- id: contractbench_public
config: default
split: test
- id: contractbench_full
config: default
split: test
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