Generative AI for Legal Work
Practical ways for legal teams and law firms to use generative AI for review, research, drafting, and knowledge management.
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A curated selection of articles to read first from LegalAgent AI Legal Lab.
Internal Use and Copyright: What to Check When Sharing Articles, Preparing Training Materials, and Using AI Summaries
Copyright also matters for sharing articles internally and preparing training materials. This article explains what to check regarding private use, quotation and source attribution, public transmission, input into generative AI, and reproduction license agreements.
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How to Draft a Data Provision Agreement: Scope of Use, AI Training, and Treatment on Termination
This article explains the scope of use, AI training, processed outputs, subcontracting, quality warranties and deletion on termination to be set out in a data provision agreement. It also covers points to check regarding trade secrets, shared data with limited access and the Act on the Protection of Personal Information.
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Using AI for Contract Review and Article 72 of the Attorney Act: What Legal Teams Can Leave to AI
How to deal with the unauthorized-practice rule in Article 72 of the Attorney Act when using AI for contract review is a challenge for corporate legal work. Based on the Ministry of Justice guidelines, this article shows the boundary between routine work that can be left to AI and matters with case-ness that require consulting an attorney, along with practical steps for companies to adopt AI safely.
Read articleA Legal Agent engineer has published a case study on Zenn about the custom MCP server that supports our legal AI (Japanese)
Our firm's engineer has published "Field Report: A Law Firm Today" on Zenn. The article introduces development tailored to legal practice, including connecting AI agents with Office through a custom MCP server, techniques for handling Word tracked changes with minimal diffs, and searching matter documents.
Open external linkGenerative AI for Legal Work articles
Practical ways for legal teams and law firms to use generative AI for review, research, drafting, and knowledge management.
Internal Use and Copyright: What to Check When Sharing Articles, Preparing Training Materials, and Using AI Summaries
Copyright also matters for sharing articles internally and preparing training materials. This article explains what to check regarding private use, quotation and source attribution, public transmission, input into generative AI, and reproduction license agreements.
Read articleHow to Draft a Data Provision Agreement: Scope of Use, AI Training, and Treatment on Termination
This article explains the scope of use, AI training, processed outputs, subcontracting, quality warranties and deletion on termination to be set out in a data provision agreement. It also covers points to check regarding trade secrets, shared data with limited access and the Act on the Protection of Personal Information.
Read articleUsing AI for Contract Review and Article 72 of the Attorney Act: What Legal Teams Can Leave to AI
How to deal with the unauthorized-practice rule in Article 72 of the Attorney Act when using AI for contract review is a challenge for corporate legal work. Based on the Ministry of Justice guidelines, this article shows the boundary between routine work that can be left to AI and matters with case-ness that require consulting an attorney, along with practical steps for companies to adopt AI safely.
Read articleA Legal Agent engineer has published a case study on Zenn about the custom MCP server that supports our legal AI (Japanese)
Our firm's engineer has published "Field Report: A Law Firm Today" on Zenn. The article introduces development tailored to legal practice, including connecting AI agents with Office through a custom MCP server, techniques for handling Word tracked changes with minimal diffs, and searching matter documents.
Open external linkLegal Agent's company profile is listed on Dealroom
The global company database Dealroom lists Legal Agent's business overview, Representative Attorney Asato's background, and funding information in English. We confirmed the listing as of August 29, 2026.
Open external linkLegal Agent's company information is listed on FIRST CVC (Japanese)
FIRST CVC's startup company information includes Legal Agent's business model, value proposition, target customers, and its Word add-in service. We confirmed the listing as of August 29, 2026.
Open external linkLegal Agent's company profile is listed on KEPPLE (Japanese)
KEPPLE's company database lists Legal Agent's business overview, Representative Attorney Asato, and related interview and funding articles. We confirmed the listing as of August 29, 2026.
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Preparing the Data Room for Legal Due Diligence: Version Control and Organizing Documents So AI Can Read Them
Even when using AI in legal DD, you need to match executed versions with amendment memorandums and check extraction results against the source materials. This article explains how to prepare a document management spreadsheet and the handling of personal and confidential information to check before disclosing to external AI.
Read articleRepresentative Attorney Asato contributed an article to the September 2026 issue of Kaisha Homu A2Z (Japanese)
The September 2026 issue of Dai-Ichi Hoki's Kaisha Homu A2Z carries "Legal Agent, a Law Firm for the Generative AI Era: Our Challenge as an AI Native Law Firm" by our Representative Attorney, Noriaki Asato.
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AI Meeting Minutes Tools and Confidentiality Obligations: Gaps That Arise When Recording and Inputting NDA-Covered Meetings
Recording an NDA-covered meeting with an AI minutes tool may send the audio to an external service. Separate notice of recording from third-party disclosure, check the terms of use and the handling of personal information, and set internal operating rules.
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AI Use of Faces and Voices and Personality Rights: How Companies Should Design Permissions in Advertising Production
When an AI voice resembling a real person's voice is used in advertising, the protection of personality interests in faces and voices and of customer-attracting power becomes an issue. Drawing on the Ministry of Justice's August 2026 report, we look at the scope of permission and the points to check in advertising representations.
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Searching Internal Documents with RAG: How Copyright Risk Changes with the Type of Material
What needs to be checked before feeding materials into RAG differs between your own meeting minutes and practical guides you purchased. Based on the requirements of Articles 30-4 and 47-5 of the Copyright Act, we consider the scope of permissible use in light of where the materials come from and how output is produced.
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Training Dataset License Agreements: Dividing Rights Between the Data Provider and the Developer
When you provide your company's data for AI development, who can use the resulting model? This article distinguishes Article 30-4 of the Copyright Act from contractual restrictions and covers the points to check before negotiating, from the handling of personal information to conditions of use after the contract ends.
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Designing AI Agent Authority: What to Decide Before Entrusting Orders and Messages to AI
To prevent erroneous orders by AI agents, you need to decide where human approval will be inserted. Centering on the design of monetary thresholds and execution records, this article considers the validity of contracts in the event of a malfunction and arrangements with business partners.
Read articleA Checklist for When Generative AI Isn't Working: An Introduction
When you get an answer that doesn't fit your company's position, review both your instructions and the reference materials. Using examples that supply the purpose and premises, this article shows how to keep adjusting the wording separate from checking laws and facts.
Read articleMinimum Rules for Using Generative AI in the Workplace: A Beginner's Guide
When starting to use generative AI within the company, decide what information may be entered, which services are approved, and who checks the output. This article introduces how to move from drafting basic rules to task-by-task checks and updates.
Read articleDo Not Use Generative AI Answers As Is: Why a Person Must Always Do the Final Check
Even when a generative AI answer reads naturally, it does not necessarily fit your company's policy or the premises of the contract. Using the confidentiality period and the damages cap as examples, we introduce a way of using AI that keeps verification against primary sources and internal approval in place.
Read articleAlways Check Article Numbers and Sources Yourself: A Pitfall of Generative AI
Even when an article number or the date of a judgment is specific, the source does not necessarily exist. Using the payment due date under the Torihiki Tekiseika Act as an example, this column shows how to confirm the content of a provision, when it applies and the premises of a court decision in the original sources.
Read articleSummarizing Two Drafts of a Contract or Internal Rule in a Comparison Table: Checking Differences With Generative AI
In a contract comparison table, the evaluation differs depending on whose liabilities or rights change. Using an example and instructions from the client's position, this article introduces a procedure for checking generative AI's comparison results against the original text and tracked changes.
Read articleDrafting a Legal FAQ and Contract Glossary: Building Internal Knowledge with Generative AI
This article introduces how to ask Gemini and similar tools for drafts of FAQs and glossaries based on recurring internal consultations. It also covers checking the premises of the answers, the company's approval procedure and who will be responsible for updates after publication.
Read articleGetting a Rough Translation of English Contracts and Emails: How to Use Generative AI
After grasping the outline of an English contract through a rough translation, check in the original text whether obligations exist and how far they extend. Using indemnification clauses and the translation of shall and may as examples, this article shows how to use summaries and side-by-side translations for different purposes.
Read articleDrafting an Internal Risk Explanation Memo: How to Use Generative AI
Even when the legal team finds a risk, decision-makers may be unable to choose a response from the quoted clause alone. Have generative AI draft a memo that conveys the business impact and the options, then finalize it against the contract as a whole.
Read articleExtracting Deadlines, Amounts and Obligations from Contracts into a List: A Handy Use of Generative AI
Even if a list made from a contract says "Not stated," that does not necessarily mean the clause truly does not exist. Attach the supporting provisions to generative AI's extraction results and cross-check them against schedules and amendment agreements to build a register usable for deadline management.
Read articleCreating a First Draft of a Reply to a Long Email: Steps for Saving Time with Generative AI
When a single email contains multiple revision requests, first decide which points to accept and which need internal confirmation. Give that policy to generative AI to produce a draft, and check that the reply does not amount to unintended acceptance.
Read articleDrafting and Polishing Meeting Minutes: A Standard Use of Generative AI
If "we will consider it" in meeting notes turns into "we agreed" in the minutes, the record of the negotiation will be wrong. This column shows the steps for separating decisions from pending matters and confirming persons in charge and deadlines when you leave drafting to generative AI.
Read articleHaving Technical Terms Explained in Plain Language: An Easy Way to Use Generative AI
Business departments do not necessarily understand the terms legal explains in the same way. Tell generative AI who the reader is, have it draft an explanation, and check against the original text that the scope of liability and conditions have not been left out.
Read articleLegal Risks of Deepfake and Impersonation Advertising, and the Initial Response for PR Legal
For AI advertising that uses faces or voices, check whether it misleads people about the person's involvement and whether you have the rights to use the materials. If you fall victim to impersonation, promptly preserve evidence, request takedowns and issue any necessary warnings.
Read articleLegal Agent was selected as an exhibitor at IVS2026 Startup Market (Japanese)
Legal Agent was selected as an exhibitor at IVS2026 Startup Market and is listed among the DAY2 exhibitors.
Open external linkWhat Is an AI Lawyer? How to Divide Work Between Attorneys and AI in Corporate Legal Practice in the Age of Generative AI
Even when AI prepares contract drafts and identifies issues, humans check the premises of the transaction and the content of the output. To obtain advice that reflects your company's position and acceptable risks, this column considers what to entrust to AI and what to entrust to attorneys.
Read articleLegal Agent's company profile is listed on SPEEDA (Japanese)
SPEEDA Startup Research lists Legal Agent's business, Representative Attorney Asato, funding, and related news.
Open external linkWhat Is Generative AI? A Gentle Introduction for Legal Staff
What should you tell generative AI when asking it to summarize or check contract clauses? This article presents prompts you can try in practice and explains how to verify errors in the output and what to check before entering company confidential information.
Read articleLaw Firm Fee Structures Moving from Hourly Billing to Fixed Fees
If AI can reduce working time, how should attorney fees be set? Taking into account the advantages and problems of hourly billing, this article presents our firm's approach of clearly defining the work included in fixed fees and estimating additional work in advance.
Read articleHow Will Young Attorneys Develop in the Age of AI?
When AI takes over the process in which young attorneys prepare first drafts and research memos, the opportunities to learn practice change too. How to build experience in checking output against primary sources and confirming the reasons for revisions with senior colleagues is the challenge for training going forward.
Read articleWhat Kind of Organization Is an AI Native Law Firm?
Whether AI is used only to summarize contracts or built into the work from intake to delivery changes how an organization is built. We aim for a structure in which attorneys verify the AI's preparatory work and spend their time on judgments that reflect each client's circumstances.
Read articleLegal Agent: A Word AI Agent Specialized for Legal Work
Legal Agent lets you give instructions to AI on the Word screen to revise drafts and create comments. This article introduces how to use it in contract review and drafting, points to note when checking tracked changes, and the steps to add the add-in and log in.
Read articleWhy I Founded LegalAgent, a Law Firm for the Generative AI Era
I want to reduce groundwork with AI and deliver work product verified by attorneys to our clients. I wrote about why I founded LegalAgent, my experience of hitting a wall with automation in Dify, and how we moved to a method of finishing documents through dialogue in Word.
Read articleDesigning Log Audits and the Allocation of Responsibility for AI Agents
To prepare for AI agent malfunctions, record the data referenced and the history of execution and approval. Narrow down the information kept in logs and the retention period, and decide in advance the roles of internal staff and vendors and the procedures for stopping operations and responding to incidents.
Read articleHow to Create a Generative AI Use Policy: Checkpoints for Internal Rules, Information Management and Allocation of Responsibility
"Do not enter confidential information" alone does not align judgments on the front line. Set out concrete input examples, exception requests, the handling of personal accounts and human review of outputs, and connect them to each department's work and to the reporting procedure for incidents.
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AI Vendor Due Diligence and Contract Review: Points to Check for Adopting Companies and Providers
A vendor's statement that data "will not be used for training" should be verified against the contract and the actual settings. In reviewing an AI vendor, compare the data flow, retention and deletion, responsibility for output, and conditions for trial use against your own intended use.
Read articleGenerative AI, Copyright and Training Data Checkpoints: Practical Issues for Developers and Users
Even data that can be used for training cannot necessarily be published freely as output. Check the conditions under which data was obtained, the purpose of use and the relationship with existing works at each stage, and make judgments in light of terms of use and contracts with customers.
Read articleCheckpoints for Complying with Japan's AI Act and the AI Guidelines for Business
Responsibilities under the AI Act and the measures described in the guidelines should be checked separately. Take stock of the services and data in use, and confirm that approval of input, review of output, explanations to customers and incident response fit actual operations.
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Checkpoints for Reviewing Intellectual Property Ownership Clauses: Sorting Out Deliverables, Pre-Existing Assets and AI Use
Receiving delivery does not automatically transfer the copyright. Separate new work from pre-existing libraries, and with modification, provision to third parties and use after termination in view, decide which rights are assigned and what scope is licensed.
Read articleWhat Is a Personal Information Handling Clause? Points to Check in Outsourcing and SaaS Agreements
Not every use of SaaS or AI constitutes entrustment under the law. You need to check the actual data flow and how the provider handles the data, and reflect in the clause the relationship with the DPA, provision to foreign countries and the allocation of roles in the event of a leak.
Read articleWhat Is Contract Review? How to Conduct Contract Reviews and Key Checkpoints in the Age of AI
In contract review, you check the body and the exhibits and prepare proposed revisions in light of the impact on the transaction. AI output is checked by a person, and materials for internal decision-making are prepared separately from comments for the counterparty.
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Beyond the Term "AI Lawyer": Corporate Attorneys in the Age of Generative AI
Issues raised by AI need to be checked by an attorney. Taking into account the transaction amount and the relationship with the counterparty, the attorney decides which terms to accept and where to negotiate.
Read articleLegal Agent's company information is listed on Compalyze (Japanese)
The company information database Compalyze lists Legal Agent's business overview, services, and recent developments, organized by AI from public information.
Open external linkA NewsPicks special report introduced Representative Attorney Asato's use of AI (Japanese)
The NewsPicks special report "[Illustrated] Hand It All Off, or Human Relationships? The Era of the AI x Human Power Couple Has Arrived" presents Representative Attorney Asato as an example of an attorney practicing natively with AI who serves 60 companies as outside counsel on his own, describing how he entrusts contract review and case law research to AI so that he can spend more time with clients.
Open external linkHow Should Companies Choose a Law Firm Strong in Generative AI?
How does the firm use AI in contract review, and what do its attorneys check? Can it examine a service's terms of use together with how the business works? These are the ways of working to confirm when consulting a firm.
Read articleWhat to Decide Before Bringing AI Agents into Legal Work
Separate the groundwork entrusted to AI from the work that people check and decide. The scope of materials the agent can reference and the management of usage logs are also designed to fit the information involved in the matters handled.
Read articleThe Legal Issues to Check First in the Terms of Use of Generative AI Services
The contract terms to check depend on what you enter into an AI service and how you use its output. Confirm use for training, confidentiality, rights and the handling of personal information before introduction.
Read articleRepresentative Attorney Asato has published a new note post: Knowledge Management at a Law Firm - Google Drive and Codex (Japanese)
Our Representative Attorney, Noriaki Asato, has published a new note post titled "Knowledge Management at a Law Firm - Google Drive and Codex." He explains the centralized information management needed to use generative AI in legal work, organizing matter folders, mounting Google Drive locally, and related topics.
Open external linkWhat Should Corporate Legal Teams Outsource in the Generative AI Era?
Even if you ask an outside firm to review contracts, the burden remains if the comments that come back have to be reworked in-house. This article considers the scope of drafting, explanations and negotiation proposals to entrust to outside attorneys while keeping final decisions within the company.
Read articleHow Should Legal Workflows Change in the Age of Generative AI?
Simply handing part of a contract to AI does not convey the negotiation history or internal context. We consider how to design a practical legal workflow that sets up procedures for handling tracked changes in Word and matter materials, and combines AI preparation with review by attorneys.
Read articleHow Should Law Firms Change in the Age of Generative AI?
Consulting outside attorneys also involves preparing materials and reworking the answers for internal use. Taking the use of AI as an opportunity, this article considers a structure in which the law firm takes on this work as well.
Read articleCodex and Claude Code in Legal Work: Getting Started with Word-Based Practice
This column explains how to use Codex as a work environment, saving the effort of attaching contracts and materials to AI one by one. It describes in concrete terms the differences from Claude Code, Word integration in practice through a custom-built MCP, and the areas where attorney judgment is required.
Read articleKnowledge Management at a Law Firm with Google Drive and Codex
Starting from permission management in Google Drive and the design of matter folders, this article considers how a law firm can share its knowledge with AI. The foundation is an operation that makes background information from email and Slack available for reference and separates the permissions to retrieve and to edit documents.
Read articleRepresentative Attorney Asato has published a new note post: How to Use Codex at a Law Firm (Japanese)
Our Representative Attorney, Noriaki Asato, has published a new note post titled "How to Use Codex at a Law Firm." He introduces concrete ways to put Codex to work in legal practice, as well as the MCP servers Legal Agent has built in-house.
Open external linkRepresentative Attorney Asato has published a new note post: What Is an AI Native Law Firm? (Japanese)
Our Representative Attorney, Noriaki Asato, has published a new note post titled "What Kind of Organization Is an AI Native Law Firm?" He discusses the difference between simply using generative AI and being an AI Native Law Firm, and the kind of organization Legal Agent aims to become.
Open external linkLegalAgent was featured in MUGENLABO Magazine's AI agent roundup (Japanese)
KDDI MUGENLABO Magazine's article "What Technology Trends Emerge from the 57 Companies That Took the Stage?" features LegalAgent as a company in the generative AI and AI agent field.
Open external linkLegal Agent was introduced in an article on ANRI's official note (Japanese)
ANRI's official note article "What I Learned at a VC About What the Legal Profession Should Be" introduces the author's internship experience at Legal Agent and Representative Attorney Asato.
Open external linkLegal Agent's AI agent was featured in THE BRIDGE (Japanese)
THE BRIDGE's introduction of the participants in the Super AI Agent Championship features Legal Agent's AI agent, which supports contract review.
Open external linkWe have launched LegalAgent, a Word AI Agent specialized in legal work
We have launched an AI Agent specialized in legal work that is "truly usable" in legal practice. It stays resident in your Word file, makes appropriate revisions to the content of the Word file, and adds comments.
Open external linkLegal Agent was featured by CyberAgent Capital (Japanese)
CyberAgent Capital's "Monthly Pitch! The Door to Startups" features an overview of the legal AI agent "Legal Agent" and the points the editorial team found noteworthy.
Open external linkLegal Agent was introduced in a legal apprentice's article on training at Skyland Ventures (Japanese)
An article by a legal apprentice about training at Skyland Ventures introduces Representative Attorney Asato and our legal-specialized Word AI Agent.
Open external linkContractS's official note introduced its collaboration with Legal Agent (Japanese)
ContractS's official note article "Turning Legal into a 'Force That Moves the Business Forward': The Startup Support ContractS AI LegalOps Aims to Provide" introduces its collaboration with Legal Agent Law Firm.
Open external linkLegal Agent's business model was featured in THE BRIDGE (Japanese)
THE BRIDGE covered Legal Agent's business model, presented at BRMeetup, which combines AI and attorneys, and its transformation of corporate legal services through a human-in-the-loop approach.
Open external linkLegal Agent was selected for ANRI's investment program VORTEX (Japanese)
Legal Agent was selected for "ANRI VORTEX," ANRI's investment program for early-stage founders.
Open external linkLegal Agent's company information is listed on STARTUP DB (Japanese)
STARTUP DB lists Legal Agent's company overview, business, Representative Attorney Asato, funding, and related information.
Open external linkLegal Agent's funding was covered by THE BRIDGE (Japanese)
THE BRIDGE covered Legal Agent's funding from ANRI and BoostCapital, and its legal outsourcing business combining generative AI and attorneys.
Open external linkLegal Agent's funding was covered by KEPPLE (Japanese)
KEPPLE's Startup News covered Legal Agent's JPY 50 million funding round and its legal outsourcing business powered by generative AI and attorneys.
Open external linkLegal Agent's funding was covered by STARTUP LOG (Japanese)
STARTUP LOG covered Legal Agent's JPY 50 million funding round, its business, and company information.
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