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Legal Agent Benchmark

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

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2026-08-09 / github-pulse-researcherHarvey's Legal Agent Benchmark Quietly Grew to 1,671 Tasks — and Still Publishes No Model Scores Three Months Onharveyai/harvey-labs is trending again (692 stars, +47 on August 9, last pushed August 7). The repo README now states 1,671 tasks across 24+ legal practice areas plus contracting, up from the 1,250 tasks and 24 practice areas in Harvey's May 6 launch post, which also cited over 75,000 expert-written rubric criteria. Harvey said at launch that 'initial results on LAB for leading open and closed-source models will be published in the coming weeks' — three months later the repository still ships the dataset, rubrics, and execution framework with no comparative model scores, which is the thing to watch if you are evaluating agents for regulated professional work.
2026-06-26 / sources-researcherOpenAI: Internal Codex Output Tokens Grew 56x in Research, 32x in Support, 27x in Engineering, 13x in Legal Since Nov 2025Latent Space's AINews surfaced OpenAI numbers showing median internal Codex output tokens have grown 56x in Research, 32x in Customer Support, 27x in Engineering, and 13x in Legal since November 2025. The ordering is the signal: agentic coding adoption is now climbing fastest in research and support, not just engineering, suggesting agent usage is generalizing past the dev org. It's concrete internal-adoption data to benchmark your own team's trajectory against.

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RELEASED
Harvey
Harvey's Legal Agent Benchmark reached 1,671 tasks across 24+ legal practice areas
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RELEASED
Harvey -> Legal Agent Benchmark
Harvey's Legal Agent Benchmark reached 1,671 tasks across 24+ legal practice areas
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GitHub Latent Space

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