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EnglishQwenWork joins forces with Mingbai Lawyers to explore the practical application of AI in legal services
QwenWork Event
On August 15, the “AI Legal Services Transformation Summit Forum,” co-hosted by QwenWork and Mingbai Lawyers, was successfully held.
Professionals from various legal practice fields—such as law firms and corporate legal departments—participated in this learning and co-creation salon focused on legal AI, bringing real-world challenges from their daily work. The event covered case analysis, tool implementation, and workflow design, with attendees engaging in in-depth discussions around authentic business scenarios.
How can QwenWork truly integrate into the legal community and enhance team efficiency? Here, six front-line industry experts share concrete application results based on their firsthand experience.
How Can AI Be Implemented in the Legal Field? Six Professionals’ Real-World Experiences
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01
Wang Qiangyu | From Vague Needs to Actionable Skills
Transforming Legal Services into Standardized Processes
Working with Zhejiang University’s Mingbai Digital Intelligence team, Wang Qiangyu successfully deployed two legal skills—“Labor Document Review” and “Divorce Case Assistance”—on the QwenWork platform, breaking down complex and abstract legal requirements into clear, actionable workflows.
In labor and HR scenarios, the system helps HR departments systematically review common documents such as employment contracts, employee handbooks, attendance and leave policies, and termination papers, identifying clause risks, procedural gaps, document inconsistencies, or insufficient record-keeping, while providing improvement recommendations. For divorce cases, it organizes materials around key issues like child custody and property division, generating follow-up action guidelines and evidence checklists to help lawyers efficiently handle initial consultations and pre-trial preparations.
These two skills embed lawyers’ professional judgment and operational patterns within QwenWork, enabling standardized reuse of repetitive tasks such as contract review and document organization. In practice, after using these tools, junior associates can independently handle contract-related tasks within a month, producing work that senior attorneys rate as comparable to that of practitioners with three to four years of experience.
02
Wu Zhiwan | Nine Years of Legal Practice with AI: From Bank Statements to Bulk Email Analysis
Wu Zhiwan has been in the legal profession for nine years, specializing in cross-border dispute resolution and data compliance. In her daily work, she extensively uses AI to convert bank statement images into tables and analyze emails in bulk—bank transaction screenshots are automatically transformed into structured data and undergo preliminary calculations; for cross-border trade disputes settled via email order confirmations, AI extracts sender, recipient, time, subject, and key content, generating summary reports and significantly reducing manual input and the burden of reviewing each message individually.
Building on these practices, she has further developed workflows for contract review and drafting legal letters, gradually migrating them to the QwenWork platform. QwenWork supports similar workflow design and the development of law-related skills, and can also integrate with DingTalk’s email system, linking steps such as “contract upload → stance selection → revision suggestion generation → missing clause supplementation → email explanation delivery” to enable end-to-end collaboration.
For high-frequency, repetitive, and patterned tasks like contract review, email summarization, and reconciliation, Wu Zhiwan hopes to solidify these processes into sustainable legal workflows through QwenWork, boosting overall operational efficiency.
03
Xu Yansheng | Age Is No Barrier: Monthly Case Load Increases from One or Two to Four or Five
Xu Yansheng is a seasoned practicing attorney whose team has applied AI to draft initial versions of documents, which are then revised and reviewed by lawyers before submission. By streamlining time-consuming steps such as file review, data verification, and document drafting, some team members have increased their monthly caseload from one or two to four or five.
In a gas station lease dispute, Xu Yansheng plans to leverage QwenWork to further research the legal basis for whether the lessee intentionally exacerbated losses. The platform can precisely search China’s statutes and case law according to a dedicated legal framework, providing verifiable citations to support legal research and evidence analysis.
He is also exploring QwenWork’s integration with DingTalk’s AI transcription feature: after recording client meetings or internal discussions, the system automatically generates key summaries and action items, alleviating the tedious manual effort required for post-meeting organization.
04
Guo Xiaoming | Contract Turnaround in 13 Minutes: An AI Collaboration Platform for Lawyers in the Social Media Era
Guo Xiaoming specializes in child custody cases and appears in court more than 200 times a year. Faced with numerous consultation leads from social media and highly concentrated case materials, he built an AI-powered collaboration platform on QwenWork, connecting the entire process from “lead screening → case analysis → document generation → experience accumulation.”
Upon receiving a new case, QwenWork helps organize当事人statements and case files, automatically generating an analysis report. After each case concludes, he uses commands to extract his approach, turning it into a reusable skill. When encountering similar cases, he simply inputs new information and quickly applies the established logic. Meanwhile, he leverages the “Projects” feature to accumulate past case documents, distilling general competencies like evidence synthesis and document drafting for future reference.
Through this platform, Guo Xiaoming has achieved comprehensive tool-based management—from acquiring clients via social media and managing leads to executing cases and accumulating knowledge—while providing a unified collaboration space and experience-sharing mechanism for his eight-member legal team.
05
Zhang Hengzhu | Dissecting Relocation Cases from a Judge’s Perspective: Smart Integration of Papers, Statutes, and Judgments
Zhang Hengzhu previously served as a judge and now works as a law professor. During a classroom simulation involving a land relocation dispute outside his usual expertise, he first submitted relevant authoritative papers to QwenWork, quickly outlining the core issues and knowledge framework of the case. He then asked the system to cite specific statutory provisions and mark their sources for easy verification.
Next, he handed over a mock judgment to the platform for further analysis, cross-referencing its findings with outputs from other AI tools. Along the way, he discovered that some tools included fabricated cases or invented statutes, using this as a basis to filter out unreliable information.
Ultimately, QwenWork helped integrate academic research, legal precedents, and judgment analysis, producing a draft appeal for students to reference, successfully consolidating scattered data searches, statute verification, and document drafting into a single, seamless workflow.
06
You Chu | Full Litigation Cycle Automation: An AI-Native Journey for Corporate Legal Affairs
You Chu is a corporate legal officer committed to transitioning his department toward an AI-native model. For standard litigation cases commonly faced by enterprises, he established on QwenWork a fully end-to-end AI-native workflow spanning case intake, trial preparation, and post-case review.
After court SMS notifications are automatically forwarded to email, QwenWork regularly captures and parses the content, synchronizing it with the case management ledger—new cases are instantly logged, ongoing cases receive real-time status updates, and the system even creates DingTalk groups based on the case data, inviting relevant colleagues to join, helping clarify initial facts and facilitating ongoing communication.
During the trial preparation phase, a self-developed expert toolkit automatically generates documents such as complaints, responses, arguments, and trial outlines. As the process advances, the system proactively suggests next steps and sets calendar reminders for hearings and other critical milestones.
The standardized background information needed throughout the litigation cycle is progressively shared within a loop, while multiple document-generation skills embedded in the expert toolkit ensure ample human-machine collaboration flexibility and control.
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Highlights from the Event
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From a single case study to reusable skills; from individual document organization to complete, end-to-end case-handling workflows—QwenWork is steadily penetrating diverse, concrete legal practice scenarios.
Looking ahead, QwenWork will continue collaborating with more legal professionals to transform real-world business needs and practical experience into reusable AI capabilities, driving innovation in work models tailored to the local legal ecosystem and making AI a true daily productivity partner for legal professionals.
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