TLDR Tech / AI
Harvey post-trains Kimi K3 for long-horizon legal work
Harvey post-trained a Kimi K3 base with asynchronous reinforcement learning in realistic long-horizon legal environments, then trained separate capabilities for diligence, review tables, and firm knowledge that the main system can route to as tools or subagents. The decision-changing idea is that a professional-service model can improve by learning the workflow and harness—not merely by ingesting more legal text—but every reported result is vendor-authored and task-specific.
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