Harvey + LangChain Labs: batch LLM-as-judge delivers ~1,000x verification cost reduction on 1,200+ legal tasks. DeepSeek v4 Flash at 94-96% Opus 4.7 quality, 18x cheaper.
Kirkland & Ellis earmarked $500M to build a proprietary AI platform in-house, refusing off-the-shelf tools to create a competitive moat no rival firm can easily replicate.
LangChain and Harvey released LAB, an open-source benchmark for AI agents on long-horizon legal tasks covering research, analysis, and document drafting.
New preprint: LLMs are enabling pro se federal court filings at unprecedented rates—the first empirical evidence AI is breaking effort-gated institutional systems.
Sullivan & Cromwell filed corrections after AI hallucinations introduced fictitious cases and invented statutes into federal court documents, with both review layers failing to catch the errors.
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