How AI Is Entering the Legal Industry: Insights from 6 Practitioners

QwenWork Collaborates with Mingbai Lawyer to Explore AI Implementation in Legal Services

QwenWork Event

On August 15, the "AI Legal Services Transformation Summit Forum" co-hosted by QwenWork and Mingbai Lawyer concluded successfully.

Legal professionals from diverse practical environments—including law firms and corporate legal departments—attended the event with real business challenges, actively participating in this learning and co-creation salon focused on legal AI. From case analysis and tool operation to workflow design, attendees engaged in in-depth discussions based on authentic scenarios.

How exactly is QwenWork making a tangible impact in the legal sector and boosting team efficiency? Here are concrete answers from six legal practitioners through firsthand experiences.

How Is AI Entering the Legal Field? Six Practitioners Share Their Experiences

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01

Wang Qiangyu | From Vague Needs to Executable Skills

Transforming legal services into standardized, executable processes

Collaborating with Zhejiang University's Mingbai Digital Intelligence Team, Wang Qiangyu implemented two legal Skills on QwenWork: one for detecting issues in labor employment documents and another for assisting divorce cases. These break down complex and ambiguous legal needs into structured, actionable workflows.

In labor employment scenarios, the Skill systematically checks common HR documents such as employment contracts, employee handbooks, attendance and leave policies, and resignation files. It identifies risks like contractual loopholes, procedural gaps, inconsistencies across documents, and insufficient record-keeping, while offering remediation suggestions. In divorce cases, it organizes case materials around key issues such as child custody and asset division, generates follow-up action plans and evidence checklists, and helps lawyers complete initial consultations and case preparations more efficiently.

These Skills embed expert legal judgment and workflows directly into QwenWork, standardizing repetitive tasks such as contract review and document organization for reuse. In practice, junior associates using these Skills can semi-independently handle contract-related tasks within a month. Senior lawyers have evaluated their output quality as comparable to that of a lawyer with3 to 4 years of experience.

02

Wu Zhiwan | Nine Years in Law, Now Supercharged by AI: From Bank Statements to Bulk Email Analysis

Withnine years of legal experience, Wu Zhiwan specializes in cross-border dispute resolution and data compliance. In daily casework, she applies AI to streamline bank statement processing and bulk email analysis: bank statement screenshots are automatically converted into structured tables with preliminary calculations; for cross-border goods disputes confirmed via email, AI extracts sender, recipient, timestamp, subject, and content highlights in bulk, generating summaries and reducing manual data entry and individual email reviews.

Building on these applications, she has also developed workflows for contract review and legal letter generation, now migrating them to QwenWork. The platform supports similar workflow creation and legal Skills, and integrates with DingTalk email to connect steps such as contract upload → position selection → draft revision → missing clause supplementation → sending explanation emails, forming a seamless end-to-end process.

For high-frequency, repetitive, and highly standardized tasks like contract review, email aggregation, and reconciliation, Wu hopes to solidify these into reusable legal workflows using QwenWork.

03

Xu Yansheng | Age Is No Excuse for Falling Behind: Monthly Case Load Increased from One or Two to Four or Five

Xu Yansheng is an experienced lawyer whose team now uses AI to draft initial case materials, which are then revised and reviewed by senior lawyers before submission. By shortening time-consuming stages such as file review, research, and drafting, some team members have increased their monthly caseloadfrom one or two cases to four or five.

In a gas station lease dispute, Xu plans to use QwenWork to further investigate legal precedents regarding whether the lessee intentionally exacerbated losses. Leveraging a specialized legal framework, QwenWork can search Chinese legal databases for relevant regulations and case law, providing verifiable citation sources to support legal research and evidence analysis.

In addition, he is exploring QwenWork’s integration with DingTalk AI voice notes for meeting transcription: after recording client meetings or internal discussions, the system automatically generates summaries and action items, reducing the burden of post-meeting documentation.

04

Guo Xiaoming | 13 Minutes to Contract Conversion: An AI Work Platform for Influencer Lawyers

Guo Xiaoming focuses primarily on custody cases andappears in court over 200 times per year. Facing a large volume of consultation leads from social media and highly concentrated case materials, he built an AI-powered legal work platform on QwenWork, integrating lead screening → case analysis → document generation → knowledge accumulation into one streamlined system.

When a new case arrives, QwenWork helps organize client statements and case files, producing case analysis reports. After each case concludes, Guo uses commands to extract the reasoning process and save it as a reusable Skill. For similar future cases, simply inputting new materials allows the system to apply prior analytical logic. Additionally, he uses “Projects” to archive past case documents, abstracting generalizable capabilities such as evidence synthesis and document drafting for future use.

This platform enables Guo to operationalize multiple stages—from client acquisition via social media, lead filtering, case handling, to experience reuse—and provides hiseight-member legal team with a unified workspace for collaboration and knowledge sharing.

05

Zhang Hengzhu | A Judge’s Perspective on Demolition Disputes: Connecting Academic Papers, Laws, and Judgments

Zhang Hengzhu, a former judge and now law professor, used QwenWork in a classroom simulation involving a land demolition dispute outside his specialty. He first uploaded authoritative academic papers to QwenWork, allowing the system to quickly outline the knowledge framework and core issues of the simulated case. He then instructed it to cite specific laws and regulations with source references for easy verification.

Next, he submitted a sample judgment for deeper analysis and cross-validated the results against outputs from other AI tools. During this process, he discovered that some tools fabricated cases and cited non-existent laws, prompting him to further verify and filter reliable information.

In the end, QwenWork helped integrate findings from academic research, legal provisions, and judgment analysis to produce a draft appeal brief for client reference,connecting previously fragmented processes of data retrieval, legal verification, and document drafting into a single cohesive workflow.

06

You Chu | End-to-End Automation for Litigation Cases: An Enterprise Legal Team’s AI-Native Practice

You Chu is a corporate legal officer committed to transforming legal operations into anAI-native model. To address standardized litigation handling, he built anend-to-end AI-native pipeline on QwenWork, covering case intake, trial preparation, and post-case review.

After court SMS notifications are automatically forwarded to email, QwenWork fetches and parses the documents daily, syncing them to the case management ledger. New cases are automatically filed, ongoing cases updated, and DingTalk groups created based on retrieved case data, inviting relevant personnel to reconstruct facts. The system continuously assists with group message tracking. For trial preparation, customized expert toolkits generate pleadings, responses,代理 briefs, and trial outlines.

Throughout the case lifecycle, QwenWork autonomously prompts next steps and automatically schedules hearings and other critical deadlines. This ensures progressive context transfer within Loops and leverages distributed document-generation Skills in the expert toolkit to maintain robust human-AI collaboration.

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Event Photo Recap

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From a single case study to a reusable Skill; from organizing one document to connecting an entire case-handling workflow—QwenWork is gradually embedding itself into increasingly specific legal work scenarios.

Going forward, QwenWork will continue co-creating with more legal professionals, transforming real-world demands and expert insights into reusable AI capabilities, exploring better-suited ways of working for the legal industry, and empowering AI to become a truedaily productivity tool for legal professionals.

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