OpenAI-backed legal tech firm pivots to Chinese Kimi K3 open-weight model

San Francisco-based legal tech provider Harvey, backed by OpenAI, Sequoia Capital, and Andreessen Horowitz, announced Thursday that its new model, Harvey Tenet, was post-trained on Moonshot AI's open-weight Kimi K3 base, achieving 'state-of-the-art' performance in complex legal work. The pivot highlights a growing shift by Western tech firms toward Chinese open-weight systems amid soaring development costs, with AI policy researcher Simon Hedlin calling it 'a great example of open-weight models' enabling specialized post-training.

OpenAI-backed legal tech firm pivots to Chinese Kimi K3 open-weight model San Francisco-based Harvey says its new model, Harvey Tenet, was post-trained on top of the open-weight Kimi K3 base Moonshot AI’s Kimi K3, https://www.scmp.com/tech/article/3362143/moonshots-kimi-k3-triggers-silicon-valley-debate-over-bans-chinese-open-source-models?module=inline&pgtype=article highlighting a growing shift by Western tech firms towards Chinese open-weight systems amid soaring development costs. San Francisco-based legal tech provider Harvey, whose high-profile backers also include Sequoia Capital and Andreessen Horowitz, said on Thursday that its new model, Harvey Tenet, was post-trained on top of the open-weight Kimi K3 base. The company said the system achieved “state-of-the-art” performance in complex legal work. OpenAI https://www.scmp.com/topics/openai?module=inline&pgtype=article and Google for legal applications. Harvey’s pivot was “a great example of open-weight models” enabling developers to post-train systems on specific industry or corporate data for higher accuracy and lower inference costs, AI policy researcher Simon Hedlin wrote on X on Friday. Post-training is the process of refining a general-purpose base model with specialised data sets to excel at specific tasks.