The Best AI Tools for Legal Teams in 2024
The legal profession is changing quickly. AI tools are becoming essential for legal teams that need to handle large volumes of research, documents, contracts, and discovery data without sacrificing quality. For lawyers, paraleals, and legal operations staff, the right AI platform can save time, improve consistency, and help teams focus on higher-value work.
This guide covers some of the best AI tools for legal teams, what they do, where they fit best, and what to consider before adopting one.
Why AI Matters for Legal Teams
Legal work is detail-heavy and time-sensitive. AI tools can help teams:
- Speed up research and drafting
- Review large document sets more efficiently
- Reduce repetitive manual work
- Improve accuracy and consistency
- Support better decisions with faster access to information
- Free up time for strategy, client work, and complex analysis
For firms and in-house teams, the goal is not to replace legal expertise. It is to support it with tools that make everyday workflows more efficient.
Top AI Tools for Legal Teams
1. Casetext CoCounsel
What it does:
Casetext CoCounsel is an AI-powered legal assistant that helps with research, drafting, summarization, contract analysis, deposition prep, and argument generation. It is built to work within the Casetext legal research ecosystem.
Why it is useful:
CoCounsel can speed up routine legal work by turning natural-language prompts into useful first drafts and summaries. It is especially helpful for users who want faster access to relevant authorities without relying heavily on complex search syntax.
Best for:
Litigators, transactional lawyers, and paralegals who spend a lot of time on research, drafting, and document review.
Pros:
- Handles a wide range of legal tasks
- Natural-language interface
- Useful for research, drafting, and summarization
- Integrated with a legal database
Cons:
- Requires careful human review
- Subscription costs may be a factor for smaller firms
2. Luminance
What it does:
Luminance is an AI platform focused on contract review and due diligence. It analyzes documents, identifies key clauses, and flags risks or deviations from standard language.
Why it is useful:
It is designed for high-volume contract review, where manual analysis can be slow and error-prone. Luminance helps teams review large document sets faster and with more consistency.
Best for:
Transactional teams, in-house legal departments, and firms handling M&A, real estate, or other due diligence-heavy matters.
Pros:
- Strong contract analysis capabilities
- Built for complex document review
- Helps reduce manual review time
- Highlights key terms and risks across document sets
Cons:
- More specialized than general-purpose AI tools
- May require implementation and training
3. Relativity
What it does:
Relativity is a major eDiscovery platform that uses AI and machine learning to help teams manage, review, and analyze electronically stored information. Its features support technology-assisted review and document prioritization.
Why it is useful:
Litigation often involves huge amounts of data. Relativity helps legal teams identify responsive, privileged, and sensitive documents more efficiently, reducing the burden of manual review.
Best for:
Litigation teams, government investigations, and compliance-focused legal departments.
Pros:
- Well-established eDiscovery platform
- Scales to large data volumes
- Strong AI-assisted review features
- Robust security and compliance support
Cons:
- Can be complex to learn
- Primarily focused on eDiscovery
- May be expensive for smaller matters
4. Lexis+ AI
What it does:
Lexis+ AI brings generative AI capabilities into the LexisNexis research platform. It supports drafting, summarization, and conversational legal research.
Why it is useful:
For teams already using LexisNexis, Lexis+ AI adds a more efficient layer to familiar workflows. It can help generate first drafts, summarize long documents, and answer legal research questions in a more interactive way.
Best for:
Attorneys, paralegals, and legal researchers who already rely on LexisNexis and want AI support inside that environment.
Pros:
- Built into a trusted legal research platform
- Supports multiple legal tasks
- Familiar workflow for existing users
- Backed by a large legal content library
Cons:
- Outputs still need close review
- Pricing may vary by plan and feature set
5. Terminology by Lega by Lega
What it does:
Terminology is an AI tool for contract review and analysis that focuses on identifying, comparing, and managing legal language across documents. It helps extract key data points and check consistency.
Why it is useful:
Contract language needs to be precise. Terminology helps teams catch inconsistencies, spot missing clauses, and reduce ambiguity in drafting and review.
Best for:
Transactional lawyers, in-house counsel, and legal operations teams working with standardized contracts or large agreement portfolios.
Pros:
- Strong focus on clause and terminology consistency
- Useful for standardization
- Helps reduce interpretation issues
- Can identify deviations from approved language
Cons:
- More specialized than broader legal AI platforms
- May need integration with contract management systems
6. CoCounsel by OpenAI and Thomson Reuters
What it does:
CoCounsel is a generative AI platform designed for legal work and built on OpenAI models. It supports tasks such as research, summarization, document review, deposition preparation, and drafting.
Why it is useful:
Its conversational interface makes it easier to explore legal questions, prepare first drafts, and speed up routine tasks. It is useful for teams that want a flexible AI assistant across multiple workflows.
Best for:
Litigators, corporate counsel, compliance teams, and legal professionals who need broad support across research and drafting tasks.
Pros:
- Versatile across legal use cases
- Conversational interface
- Built on advanced AI technology
- Useful for first-draft and research workflows
Cons:
- Still requires careful human oversight
- Data privacy and security review is essential
- Long-term adoption is still developing
How to Choose the Best AI Tool for Your Legal Team
The best AI tools for legal teams depend on your workflow, budget, and practice area. Before choosing a platform, consider the following:
Your main bottleneck
- If discovery is the problem, look at eDiscovery tools like Relativity.
- If contract review takes too long, consider Luminance or Terminology.
- If your team needs faster research and drafting, CoCounsel or Lexis+ AI may be a better fit.
Your practice area
- Litigation teams often need document review and discovery support.
- Transactional teams usually benefit more from contract analysis and drafting tools.
- In-house teams may prioritize review speed, consistency, and workflow integration.
Your team size and budget
- Smaller firms may prefer tools with flexible pricing or broader functionality.
- Larger firms may need enterprise-grade systems with stronger customization and admin controls.
Integration and ease of use
- Check whether the tool works with your existing document management, research, and case management systems.
- A tool is only valuable if your team can adopt it quickly and use it consistently.
Scalability
- Choose a platform that can grow with your team and handle increasing workloads without becoming inefficient or expensive.
Pricing and Value Considerations
AI legal tools vary widely in cost. Some use subscription pricing, while others are based on usage, users, or document volume. When comparing options, look beyond the monthly fee and consider the actual return on investment.
Key value factors include:
- Time savings: How much faster can your team complete routine tasks?
- Error reduction: Can the tool help reduce costly mistakes?
- Increased capacity: Can your team take on more work without adding headcount?
- Client experience: Will faster turnaround and more consistent work improve service?
Whenever possible, request a demo or trial before committing. That gives you a better sense of how the tool performs in real legal workflows.
Frequently Asked Questions
How secure are AI tools for sensitive legal data?
Reputable providers typically use encryption, secure infrastructure, and data protection controls. Still, legal teams should review security policies, retention terms, and compliance documentation before using any platform with confidential data.
Do AI tools replace lawyers?
No. AI tools are meant to support legal professionals, not replace them. They are best used for repetitive or data-heavy tasks, while lawyers remain responsible for judgment, strategy, and client advice.
How do I make sure AI output is accurate?
Always review and verify AI-generated content. Treat it as a starting point, not a final product.
What is the learning curve like?
It depends on the tool. Research and drafting assistants are often easier to adopt than complex eDiscovery or analytics platforms. Most vendors offer training and support.
Can AI tools be used for client communications?
AI can help draft client communications, but final messages should always be reviewed by a legal professional before sending.
Conclusion
AI is becoming a practical part of modern legal work. The best AI tools for legal teams can improve research, streamline document review, speed up contract analysis, and reduce repetitive manual tasks.
The right choice depends on your team’s needs. Some tools are better for litigation and discovery, while others are stronger for drafting or contract review. By focusing on workflow fit, integration, security, and human oversight, legal teams can use AI to work more efficiently and deliver better service.