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Flash

The success rate of the Zhipu legal model is nearly three times higher, and the testing cost is about one-seventieth of that of its competitors

The artificial intelligence company Zhipu released a legal-specific model GLM-Legal, which is further trained based on GLM-5.3-Flash. In the Harvey LAB evaluation covering 24 categories of legal services, the task pass rate increased from 6.7% to 19.2%, nearly tripling the original version, surpassing models like Kimi K3 and Claude Fable 5, and ranking seventh on the Vals AI leaderboard.When reviewing software service contracts, GLM-Legal suggested shortening the termination notice period from 60 days to 30 days and required service providers to offer up to 90 days of handover support. In another software project dispute involving 40 documents, it found that the company reported to the client that the project was 60% complete, while internal records indicated only about 41%. It also identified emails from the CEO requesting to conceal risks and continue charging, and analyzed potential legal liabilities in conjunction with contract terms.According to independent evaluations by Vals AI, the cost for GLM-Legal to complete a test is $0.15, while the closely performing Gemini 4 Argon costs $10.55, a cost difference of about 70 times. GLM-Legal took an average of 72 minutes, while the latter took 44 minutes. Zhipu stated that the model was trained specifically on legal data and conducted reinforcement learning in tens of thousands of simulated legal environments. Currently, GLM-Legal requires an API trial application.

first_img Jito's JTX plans to launch a mobile app this fall, with the possibility of integrating perpetual contracts in winter

During an interview with The Starting Block at the Digital Asset Summit 2026 Asia, Brian Smith, the president of Jito Foundation, the parent company of the Solana ecosystem trading platform JTX, stated that JTX plans to launch stock trading features within the next two weeks and will release a native mobile app later this fall. The integration of perpetual contracts "may take until later this winter." He mentioned that the team is currently focusing on differentiating the spot trading features.JTX launched in July this year, supporting spot trading for cbBTC, SOL, HYPE, and meme coins, while also offering tokenized stocks and ETFs. The platform charges a fee for each transaction, with 80% of the revenue allocated to Jito DAO for the buyback and destruction of JTO tokens, and 20% distributed to referrers. Smith did not disclose the trading volume since the launch but emphasized the speed of product iteration, stating that the team has two full-time data scientists mining on-chain data to develop in-app discovery features.Smith positioned JTX as a "permissionless Robinhood" for Solana, emphasizing longer holding periods and competitive rates, and noted that other Solana applications tend to focus on early meme coin trading. Regarding perpetual contracts, he acknowledged that Solana "has a lot of work to do" and affirmed Hyperliquid's role in pushing centralized exchange traders on-chain, while stating that Solana is the "king" in the spot trading space.
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