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EnglishOn May 25, the China Internet Association, together with the “Foundation Building Initiative” of the China Academy of Information and Communications Technology, jointly announced the results of the “Advanced Practices in Artificial Intelligence–Integrated Application Scenarios” selection. The comprehensive intelligent transformation solution for the legal industry, jointly developed by Mingbai Digital Intelligence, Zedda Law Firm, and DingTalk, was successfully selected as one of the top ten advanced practice projects, becoming the only award-winning case from the legal sector in this evaluation.
This selection aims to respond to the State Council’s “Opinions on Deeply Implementing the ‘AI Plus’ Action,” focusing on real-world industrial needs and identifying AI application scenarios with demonstrative effects and broad promotional value. This prestigious recognition not only reflects the high level of approval from national-level professional think tanks regarding the project’s technological advancement and practical outcomes but also marks a crucial step forward for the legal services industry in its digital and intelligent transformation journey.
Robust Security Infrastructure
The solution centers around DingTalk’s AI all-in-one device and private deployment of large-scale models, building a secure and controllable AI foundation platform. Based on this, Mingbai Digital Intelligence, Zedda Law Firm, and DingTalk have collaborated to launch a one-stop lawyer work platform—“Mingbai Lawyer.” The platform integrates legal large models and knowledge graph technologies, offering features such as AI-assisted bidding, smart case information search, client consultation support, and automated filing and summarization. Lawyers can now complete the entire closed-loop process—from case intake and document review to case handling and archiving—within a customized DingTalk environment.
Deepening AI Application Implementation
The platform includes an AI assistant named “Ask Mingbai,” specifically designed for legal professionals, which demonstrates exceptional efficiency and accuracy across various legal tasks: it can quickly analyze complex case files exceeding ten million words, reducing the time required to draft a single document from four hours to just fifteen to thirty minutes—a productivity boost of over 80%. Meanwhile, the similarity search accuracy for comparable cases exceeds 92%, the correctness rate for statutory provision retrieval reaches 98%, and the standardization ratio of document generation surpasses 90%, effectively addressing longstanding efficiency bottlenecks in traditional workflows. Additionally, through self-service legal consultations and remote connections with senior attorneys, geographical barriers are broken down, enabling legal practitioners in remote areas to access a network of high-quality resources.
Currently, the system has been validated through collaborations with numerous law firms, universities, and research institutions, earning widespread recognition for its operational feasibility. Thanks to its mature and replicable standardized model, legal organizations can achieve intelligent transformation at costs reduced by 60% to 70% compared to independent development, significantly lowering the technical barrier to entry. Looking ahead, DingTalk will continue to partner with more ecosystem collaborators, expanding its AI infrastructure capabilities into diverse sectors and supporting industries in their pursuit of high-quality digital and intelligent upgrades.
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