What is an AI Lawyer? Attorneys and AI in Legal Work
Hello, this is Legal Agent.
This English page follows the Japanese article for readers who prefer English. LegalAgent is an AI Native Law Firm focused on corporate legal work, startup legal support, M&A support and practical legal outsourcing for modern companies.
Overview
Searches for "AI lawyer" and "legal AI" usually reflect practical needs: faster contract review, first-pass answers to legal questions, and relief for understaffed legal teams. Generative AI is genuinely strong in these areas, but an AI does not hold a legal license, and it does not know the company's risk tolerance, counterparty relationships or negotiation history. The starting point is to separate tasks AI can complete from judgments that attorneys or in-house legal must make.
What AI completes well, and what it does not
AI works well on tasks with large text volume and clear reference material: summarizing contract structure, extracting risk candidates by clause, comparing counterparty edits, drafting internal memos and building issue checklists. How we embed AI agents into daily legal work is described in Why we use Codex for legal work.
AI does not complete decisions whose inputs sit outside the document: how far to push revisions given the balance of power, whether to accept a risk to close the deal, consistency with past disputes and internal policy, and when to escalate to management. Turning review standards into an organizational asset is covered in Contract review playbooks in the AI era.
Practical cautions for AI contract review
Do not give AI the contract alone. Whether a clause is actually a problem depends on the deal size, deliverables, personal data, intellectual property, subcontracting needs and the relationship with the counterparty. Provide your position, contract type, acceptable and unacceptable risks, and how strongly you can push revisions. Even then, a person should finalize which comments to send and how to phrase them.
In legal consultations, use AI first to list the facts that must be confirmed rather than to produce conclusions. Once the facts are in place, the final judgment reflects the company's risk tolerance, business needs and internal rules — that part belongs to people.
Choosing an AI lawyer or legal AI service
Look beyond feature lists: can it return Word redlines in tracked changes, separate external comments from internal risk notes, work in Slack or Teams, and accumulate your decision criteria? Who reviews AI output before it reaches the business team, and where do matters escalate when AI cannot handle them? How to evaluate law firms on these points is detailed in How companies should choose a law firm strong in generative AI.
Frequently asked questions
Can AI complete contract review on its own?
AI can extract risk candidates and draft revisions, but whether to accept a clause depends on deal size, the counterparty relationship and the company's risk tolerance. Final judgment should remain with attorneys or in-house legal.
Is an "AI lawyer" permissible under Japanese law?
Under Article 72 of the Attorney Act, handling legal matters for compensation is in principle reserved to licensed attorneys. AI tools that provide legal judgment on their own raise questions under this rule, while attorneys using AI to deliver legal services generally do not.
What should we give AI together with the contract?
Your position, contract type, deal size and term, deliverables, presence of personal data or intellectual property, and which risks are acceptable. Without this context the output stays generic.