Zhipu's legal model has nearly tripled its pass rate, while its testing costs are only one-seventieth of those of comparable competitors.

Insight Beating AI News Flash: Zhipu AI has launched GLM-Legal, a legal-specific model further trained based on GLM-5.3-Flash. In the Harvey LAB evaluation covering 24 types of legal services, its task pass rate rose from 6.7% to 19.2%—nearly triple the original level, outperforming models including Kimi K3 and Claude Fable 5, and ranking 7th on the Vals AI leaderboard. Zhipu demonstrated several practical application cases: when reviewing software service contracts, GLM-Legal suggested shortening the termination notice period from 60 days to 30 days, and required the service provider to provide up to 90 days of handover support. In another software project dispute involving 40 documents, it found that the company reported 60% project completion to clients while internal records showed only around 41%, uncovered emails from the CEO asking to hide risks and continue charging, and analyzed potential legal liabilities based on contract terms. According to Vals AI's independent evaluation, GLM-Legal costs only $0.15 per test, while the comparable Gemini 4 Argon costs $10.55—an approximately 70x cost difference. However, GLM-Legal's average processing time reaches 72 minutes, much slower than Gemini 4 Argon's 44 minutes. Zhipu stated that the model was trained on specialized legal data and underwent reinforcement learning in tens of thousands of simulated legal environments to enhance its ability to complete complex tasks. Currently, API trial access for GLM-Legal requires application.