LAB: Diligence
Agent researches a synthetic M&A virtual data room (thousands of documents, up to ~80M tokens) and drafts a diligence memo scored against planted-issue rubric criteria.
Open-sourced as RL environments (tasks/diligence held 11 data rooms on October 22nd, 2026). Long-context and exhaustivity stress test. Harvey reports harness design (an RLM root agent over a REPL) moves scores more than model choice. Harvey's RL results use held-out data rooms.
- Made by
- Harvey
- Released
- July 2026
- Kind
- Law
- Level
- Expert
- Scored
- Graded by a model
- Answers
- Agent task
- Tasks
- Public, plus a private test set
No scores here yet
No lab, leaderboard or Epoch AI run has reported a score for LAB: Diligence yet.
No lab model card reports it yet
We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark.
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