Harvey Post-Trains GLM-5.2 with Applied Compute: 50% Cost Reduction, Better Quality
ypatil125 · x · 2026-08-15
Legal AI company Harvey partnered with Applied Compute to post-train GLM-5.2 for its Review Table product, cutting inference costs by 50% while improving answer and citation quality. Review Tables let lawyers upload up to 10,000 documents and ask up to 500 questions each, generating up to 5 million model queries. In July, the largest query cost $26,000 in inference. Training data came from open-source legal corpora, with frontier models simulating user personas to generate realistic queries and answers.
Related event: Harvey Post-trains GLM-5.2 to Cut Legal AI Costs by 50%(4 posts)→
More from Companies & People
- Course: Building Intelligent C# Apps — adnan_hashmi · 2026-08-15
- Bloomberg criticized for misleading headline on OpenAI ARR — ns123abc · 2026-08-15
- Anthropic Safety Report Contradicted by Claude: Understaffed Safety Teams a Growing Concern — Miles_Brundage · 2026-08-15
- Tim Ferriss: Has AI already killed how-to nonfiction? Sales trends and personal data reveal impact — TuhinChakr · 2026-08-15
- Stanford HAI Launches Human-Centered AI for Social Impact Program for Nonprofits and Government Leaders — StanfordHAI · 2026-08-15
- Farming Robots' Toughest Problem Is Mud, Not AI — Engineers Build World Models to Sense It — Scobleizer · 2026-08-15