How to Use AI for Legal Writing: A Practical Guide for Lawyers
AI is changing how legal professionals research, draft, review, and refine written work. For lawyers, paralegals, and legal teams, the biggest opportunity is not to replace legal judgment, but to make routine writing faster, more organized, and more consistent.
If you want to know how to use AI for legal writing, the answer is straightforward: use it to accelerate first drafts, summarize source material, spot issues, improve clarity, and streamline repetitive tasks. The key is to choose the right tool, use it carefully, and always verify the output.
Why AI Matters in Legal Writing
Legal writing often involves heavy research, complex source material, and strict expectations for accuracy. AI can help reduce the time spent on repetitive work and free up more time for analysis, strategy, and client service.
Used well, AI can help legal professionals:
- Draft faster by generating first-pass content for briefs, memos, contracts, and client communications
- Summarize long documents and case law more efficiently
- Improve clarity, tone, and conciseness
- Identify inconsistencies, missing language, or potential ambiguities
- Support legal research by surfacing relevant authorities and key points
- Reduce manual effort on high-volume writing tasks
AI does not replace legal expertise. It works best as a drafting and review assistant that strengthens, rather than substitutes for, professional judgment.
Best AI Tools for Legal Writing
The right tool depends on your workflow, budget, and practice area. Some platforms are built specifically for legal work, while others improve writing quality more generally.
1. Casetext CoCounsel
Casetext CoCounsel is an AI legal assistant designed to support tasks such as legal research, document review, deposition preparation, contract analysis, and first-draft writing.
Why it is useful:
- Handles both research and drafting
- Helps generate outlines, summaries, and first drafts
- Built with legal workflows in mind
Best for:
- Attorneys who want to speed up drafting and research in one tool
- Teams that need support with depositions, motions, briefs, and document review
Pros:
- Strong legal-specific functionality
- Useful for multiple stages of the writing process
- Can save significant time on repetitive tasks
Cons:
- Can be expensive
- Still requires careful review and fact-checking
- May take time to learn effectively
2. Harvey AI
Harvey AI is an AI assistant used by law firms for complex legal work, including research, drafting, document analysis, and strategy support.
Why it is useful:
- Designed for high-volume, high-complexity legal work
- Helps identify arguments, risks, and opportunities
- Supports more advanced legal drafting and analysis
Best for:
- Large firms and legal departments
- Teams handling complex litigation or transactional matters
Pros:
- Focused on sophisticated legal use cases
- Developed with input from legal professionals
- Strong attention to security and privacy considerations
Cons:
- Often available through enterprise partnerships
- Less accessible for individual lawyers or small firms
- Requires training and integration effort
3. Lexis+ AI
Lexis+ AI brings generative AI into the LexisNexis research platform. Users can ask questions in plain language, get summarized answers with citations, and generate drafts for legal documents.
Why it is useful:
- Combines research and drafting in one environment
- Makes it easier to move from source material to written output
- Useful for cited answers and legal summaries
Best for:
- Lawyers already using LexisNexis
- Teams that want AI inside an established research workflow
Pros:
- Integrated with LexisNexis content
- Provides cited answers
- Useful for research, summaries, and early-stage drafting
Cons:
- Requires a LexisNexis subscription
- Output still needs legal review
- Performance may vary by jurisdiction or practice area
4. Westlaw Edge AI
Westlaw Edge AI adds generative AI features to the Westlaw platform, allowing users to ask questions in natural language, summarize research, and draft legal documents.
Why it is useful:
- Makes legal research more conversational
- Helps users move quickly from questions to usable drafts
- Supports both research and drafting in one platform
Best for:
- Legal professionals already using Westlaw
- Attorneys who need fast access to authorities and draft support
Pros:
- Strong integration with Westlaw content
- Cited answers support verification
- Useful for briefs, memos, pleadings, and client communications
Cons:
- Requires an active Westlaw subscription
- Needs careful review before use in final work product
- Prompting skill still matters
5. Grammarly Business
Grammarly Business is not a legal-specific platform, but it is useful for improving clarity, tone, and correctness in legal writing.
Why it is useful:
- Helps polish drafts before they go to clients, courts, or colleagues
- Improves clarity, concision, and tone
- Includes enterprise features for teams
Best for:
- Editing contracts, emails, client updates, and internal drafts
- Legal teams that want a reliable writing-quality tool
Pros:
- Easy to use
- Strong for grammar, clarity, and conciseness
- Useful for team consistency and style support
Cons:
- Does not perform legal research
- Does not generate legal arguments from scratch
- Still requires judgment in legal contexts
6. Spellbook
Spellbook is an AI writing assistant built for lawyers, with prompts and templates designed for legal drafting and analysis.
Why it is useful:
- Makes legal AI easier to use with prebuilt workflows
- Helps lawyers get more relevant output without building prompts from scratch
- Suited to everyday drafting tasks
Best for:
- Solo lawyers and small to mid-sized firms
- Teams experimenting with AI legal writing on a smaller budget
Pros:
- Legal-focused templates and prompts
- More accessible than enterprise platforms
- Helpful for drafting and research support
Cons:
- Depends on the underlying model and prompt quality
- May require a separate AI subscription
- Less comprehensive than integrated research platforms
7. GPT-3/GPT-4 via API or ChatGPT Plus
General-purpose large language models such as GPT-3 and GPT-4 can be accessed through APIs or user-facing tools like ChatGPT Plus.
Why it is useful:
- Highly flexible and customizable
- Can support drafting, brainstorming, summarizing, and rewriting
- Useful for building custom legal workflows
Best for:
- Technically inclined legal teams
- Firms that want custom AI tools or internal workflows
Pros:
- Very versatile
- Can support a wide range of writing tasks
- Useful for custom applications and experimentation
Cons:
- Requires careful prompt design
- Public-facing tools may raise confidentiality concerns
- Outputs must be reviewed closely for accuracy
How to Use AI for Legal Writing Effectively
AI works best when you treat it as a drafting assistant, not a final authority. A practical workflow usually looks like this:
1. Define the task clearly
Be specific about what you need. For example, ask for a contract summary, a brief outline, a rewritten clause, or a first draft of a client email.
2. Provide relevant context
AI performs better when you give it the facts, governing law, audience, tone, and purpose of the document.
3. Use AI for first drafts and structure
Let the tool generate an outline, a rough draft, or a summary. This saves time and helps you get past the blank page.
4. Review and revise carefully
Check every legal citation, factual statement, and argument. AI-generated content should never be used without human review.
5. Refine for clarity and consistency
Use AI or editing tools to tighten language, improve readability, and align the document with your preferred style.
6. Protect confidentiality
Avoid entering sensitive client information into tools that do not meet your privacy and security requirements.
How to Choose the Right Tool
The best tool depends on what you need it to do.
For large firms and enterprise teams
Lexis+ AI, Westlaw Edge AI, and Harvey AI are strong options for firms that need deeper workflow integration, legal research support, and enterprise-level use cases.
For individual lawyers and smaller firms
Casetext CoCounsel and Spellbook are practical choices if you want legal-specific drafting support without a full enterprise rollout.
For editing and polishing
Grammarly Business is a strong fit if your main goal is clearer, cleaner, more professional writing.
For custom workflows
GPT-3/GPT-4 through APIs offers the most flexibility, but it also requires the most technical skill and internal oversight.
Before choosing a tool, ask:
- What legal writing tasks do I want to speed up?
- Do I need drafting, editing, research, or all three?
- How much can I spend?
- Will the tool integrate with my current legal software?
- Does it meet my privacy and security standards?
- How much training will my team need?
Pricing and Value
AI tools for legal writing vary widely in cost.
- Subscription tools like Grammarly Business or Spellbook are usually priced per user and can be relatively accessible
- Research-platform add-ons such as Lexis+ AI or Westlaw Edge AI may increase the cost of an existing subscription
- Enterprise platforms like Harvey AI are typically priced through custom contracts
- API access to models like GPT-4 may be usage-based and cost-effective for some workflows, but it often requires technical setup
When evaluating cost, look beyond the monthly fee. The real value comes from time saved, fewer errors, better client service, and the ability to handle more work efficiently.
Frequently Asked Questions
Is AI allowed for legal writing?
In many cases, yes, but rules vary by jurisdiction and practice setting. Always review local ethics guidance and make sure a licensed legal professional reviews the final work.
Will AI replace lawyers?
No. AI can assist with drafting and research, but it cannot replace legal judgment, strategy, or professional responsibility.
How do I check AI-generated legal text for accuracy?
Verify every citation, legal proposition, and factual statement against primary sources. Treat AI output as a starting point, not a final draft.
What privacy issues should I watch for?
Be careful with confidential client data. Use tools with strong security protections and clear data-handling policies, especially in enterprise or public-facing environments.
Can AI help with legal research too?
Yes. Tools like Lexis+ AI, Westlaw Edge AI, Casetext CoCounsel, and Harvey AI are built to support both research and writing.
How hard is it to learn these tools?
It depends on the platform. Grammarly is simple to use, while more advanced systems and API-based workflows require more training and experimentation.
Conclusion
AI is now a practical part of legal writing workflows, not just a future trend. Used well, it can help lawyers draft faster, research more efficiently, and produce clearer documents with less manual effort.
The best results come from using AI in the right part of the process: for outlines, first drafts, summaries, editing support, and document review. But legal professionals still need to verify every output, protect confidential information, and apply their own judgment.
If you are evaluating how to use AI for legal writing, start with a tool that fits your current workflow, test it on low-risk tasks, and build from there. The right approach can improve productivity, strengthen client service, and make legal writing more efficient without sacrificing quality.