How to Use AI for Legal Writing: A Practical Guide for Lawyers
Legal writing is a core part of legal practice. Lawyers rely on it for briefs, memos, contract drafting, client communication, research summaries, and internal analysis. Because these tasks take time and require precision, AI is becoming an increasingly useful tool for legal professionals who want to work faster without sacrificing quality.
Used well, AI can help lawyers streamline routine writing tasks, improve consistency, and make research more efficient. It is not a replacement for legal judgment, but it can be a valuable part of a modern writing workflow.
Why AI for Legal Writing Matters
Lawyers are under constant pressure to do more in less time. Clients expect quicker turnaround, firms want better efficiency, and legal information continues to grow in volume and complexity. That creates bottlenecks in research, drafting, and review.
AI-powered tools can help by handling repetitive or time-consuming work and giving lawyers a stronger starting point for drafting. In practice, AI can support legal writing by:
- Boosting efficiency by automating repetitive tasks such as formatting, document review, and first-draft generation
- Improving research by helping lawyers locate relevant cases, statutes, and background material more quickly
- Reducing errors by assisting with consistency checks, citation review, and clause analysis
- Streamlining drafting by generating outlines, summaries, and initial versions of common legal documents
- Enhancing quality by flagging inconsistencies, grammatical issues, and structural gaps
- Lowering costs by reducing the time needed for certain writing and research tasks
The key benefit is not that AI does the legal work for you. It is that AI helps you get to a better draft faster.
Best AI Tools for Legal Writing
Different tools serve different needs. Some are built for legal research and drafting, while others are general-purpose AI assistants that can still be useful in a legal workflow.
1. Lexis+ AI
What it does: Lexis+ AI combines legal research with generative AI features. It can answer natural-language questions, summarize cases and documents, and help draft legal content such as briefs, motions, and client letters.
Why it is useful: Because it is connected to the LexisNexis database, its output is grounded in legal sources rather than general web content. That makes it a strong option for research-based drafting.
Best fit: Lawyers who already use LexisNexis and want a more efficient research and drafting workflow.
Pros:
- Strong legal research foundation
- Useful summarization and drafting features
- Natural-language interface
- Good fit for research-driven work
Cons:
- Requires LexisNexis access
- Can be expensive
- Generative AI features may increase overall cost
2. Casetext, now part of Thomson Reuters
What it does: Casetext’s AI-powered tools, including CoCounsel, support legal research, document review, contract analysis, and drafting. It can assist with tasks such as motions, complaints, and discovery requests.
Why it is useful: It is designed with legal context in mind, which makes it more practical than a general-purpose chatbot for many legal writing tasks.
Best fit: Lawyers and firms that want an all-in-one research and drafting assistant.
Pros:
- Strong legal context
- Broad drafting and research capabilities
- User-friendly interface
- Useful for document analysis and workflow support
Cons:
- Pricing may be enterprise-oriented
- May be less accessible for solo practitioners and small firms
- Best value depends on existing Thomson Reuters use
3. ChatGPT
What it does: ChatGPT is a general-purpose AI model that can generate text, answer questions, summarize information, and help with outlines, emails, and early drafts.
Why it is useful: It is flexible and can support brainstorming, first drafts, and general writing tasks. With the right prompts and careful review, it can be adapted for some legal use cases.
Best fit: Lawyers looking for a versatile writing assistant for non-sensitive or lower-risk tasks.
Pros:
- Flexible and easy to use
- Useful for brainstorming and drafting
- Can support many different writing formats
- Cost-effective for general tasks
Cons:
- Not built specifically for legal work
- No built-in legal database
- Higher risk of inaccurate or outdated output
- Requires careful fact-checking and confidentiality safeguards
4. Terminus
What it does: Terminus focuses on legal drafting and contract analysis. It helps identify risks, inconsistencies, and potential improvements in agreements and can generate clauses based on user input.
Why it is useful: It is designed to speed up contract review and improve consistency across documents.
Best fit: Transactional lawyers, in-house counsel, and contract teams.
Pros:
- Specialized for contract drafting and review
- Helpful for clause generation
- Supports consistency and risk spotting
- Practical for high-volume contract work
Cons:
- Narrower focus than broader legal AI platforms
- Less useful for litigation-focused work
- Premium pricing may be a barrier
5. Harvey AI
What it does: Harvey AI is a generative AI platform built for legal professionals. It supports legal research, document review, drafting, and analysis across different practice areas.
Why it is useful: It is designed specifically for legal work and can act as a drafting and research assistant in more complex matters.
Best fit: Firms and legal departments looking for a legal-specific AI assistant across multiple workflows.
Pros:
- Built for legal use cases
- Supports a broad range of tasks
- Strong fit for research and drafting
- Designed for firm-wide adoption
Cons:
- Typically positioned as an enterprise solution
- May not be affordable for individual practitioners
- Less transparent than some simpler tools
6. Prosperoware, through Intapp
What it does: Prosperoware’s legal technology offerings, including capabilities within the Intapp OnePlace ecosystem, help lawyers find relevant precedents, internal documents, and internal expertise.
Why it is useful: It supports legal writing by surfacing knowledge already inside the firm, which can improve consistency and speed up drafting.
Best fit: Law firms and legal departments that want to better use their internal knowledge base.
Pros:
- Strong for knowledge retrieval
- Helps with internal consistency
- Supports collaboration
- Useful for finding templates and prior work product
Cons:
- Not a direct generative writing tool
- Depends on strong internal data and adoption
- Better as a support system than a standalone writer
How to Choose the Right AI Tool for Legal Writing
The best tool depends on your practice, your budget, and the type of writing you do most often. Consider these factors:
- Practice area: Litigators, transactional lawyers, and in-house counsel often need different tools. A contract-focused platform may be ideal for one team and less useful for another.
- Budget: Some tools are accessible to smaller firms, while others are priced for enterprise use.
- Workflow integration: Look for compatibility with your research databases, document systems, and practice tools.
- Specialization: Decide whether you need a legal-specific tool or a general writing assistant.
- Data security: Legal work often involves confidential information, so security and privacy protections are essential.
- Ease of use: A tool only adds value if your team can adopt it comfortably.
Where possible, test a tool through a demo or trial before committing.
Pricing and Value Considerations
AI tools for legal writing vary widely in price. Some general-purpose tools have free tiers or lower-cost plans, while specialized legal platforms are often subscription-based and may cost significantly more, especially at the enterprise level.
When evaluating price, look beyond the monthly fee and consider the practical return on investment. AI can add value by:
- Saving time on research, drafting, and review
- Reducing costly mistakes in citations, clauses, or formatting
- Improving turnaround time and client satisfaction
- Helping firms stay competitive on price and speed
The right question is not just what the tool costs, but what time and risk it helps you save.
How to Use AI for Legal Writing Effectively
To get useful results, treat AI as a drafting assistant, not a final decision-maker. A practical workflow usually looks like this:
- Start with a clear task
Be specific about what you want: a memo outline, clause summary, issue spotter, or first draft.
- Use strong prompts
Include jurisdiction, audience, tone, document type, and any required structure.
- Verify every legal point
Check citations, authorities, dates, definitions, and factual assertions against reliable sources.
- Edit for legal accuracy
AI can help with structure and language, but the final version should reflect your legal analysis and judgment.
- Protect confidential information
Avoid entering sensitive client data unless the tool is approved for that use and your firm’s policies allow it.
- Use AI where it adds value
It is often most helpful for summaries, outlines, first drafts, issue lists, and consistency checks.
Frequently Asked Questions About AI for Legal Writing
Can AI replace lawyers in legal writing?
No. AI can assist with drafting and research, but it cannot replace legal judgment, strategic thinking, or professional responsibility.
Is AI legal writing accurate and reliable?
It can be helpful, but reliability depends on the tool and the task. Legal-specific platforms tend to be more reliable than general-purpose AI, but all AI-generated content needs human review.
What are the main risks of using AI for legal writing?
The main risks include hallucinations, confidentiality issues, over-reliance, and weak legal accuracy. Human oversight is essential.
How can I protect client data when using AI?
Use tools with strong security controls, review vendor data policies carefully, and avoid entering sensitive information into tools that are not approved for legal use.
Do I need to disclose that I use AI for legal writing?
Disclosure rules are still developing. In general, it is wise to be transparent where appropriate and to make sure your use of AI complies with professional responsibility rules and client expectations.
Which AI tools are best for legal research memos?
Tools that combine legal research and drafting are usually the best fit. Lexis+ AI and Casetext’s CoCounsel are strong options because they are built around legal databases and research workflows.
Conclusion
Learning how to use AI for legal writing can help lawyers work more efficiently, improve drafting quality, and reduce time spent on repetitive tasks. The best results come from choosing the right tool for the job, using it within a careful workflow, and applying human review at every critical stage.
For legal professionals, AI is most valuable when it supports legal judgment rather than trying to replace it.