Legal AI for research, drafting, and document-heavy workflows
Harvey is an AI platform for law firms and in-house legal teams. It helps you analyze documents, research legal questions, and run workflow agents across contract, compliance, and litigation work.
Agenticness = how independently a tool can take action, scored across 9 dimensions. Scored independently by David Kooi, Skylark Creations — see full rubric →
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What's happened with Harvey lately
- Score changeRubric upgrade v3_0 → v3.1: score 9/32 → 12/369 → 12/36(+3)
Rubric upgrade: agenticness v3.0 (8 dims, /32) → v3.1 (9 dims, /36). Adds Dim 9 (Operator Sovereignty), splits Dim 6 into 6a/6b lenses, tightens Dim 4 autonomous-retry distinction. Not a product change — score shift reflects new dimension + recalibrated rubric, not a change in the tool. Fanout suppressed.
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News mentions sourced from our news feed; score changes from periodic re-evaluations.
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About
Harvey is a legal AI platform built for law firms, corporate legal departments, and other professional services teams. According to its site, it brings together tools for document analysis, legal research, drafting, and workflow automation in one platform.
Harvey looks strongest for organizations that handle large volumes of legal documents and need structured help across multiple matter types. The content suggests a fairly agentic product for legal workflows, but it is not fully clear how much...
Executes tasks you assign, one step at a time, within narrow domains.
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