The Best AI Tools for Legal Teams
AI is quickly becoming a practical part of legal work. For legal teams dealing with heavy document loads, research deadlines, contract review, and client demands, the right AI tools can save time, reduce manual work, and improve consistency. The best AI tools for legal teams are not about replacing legal judgment. They are about helping lawyers, paralegals, and support staff work faster and more efficiently.
This guide looks at some of the strongest AI tools for legal professionals, what they do, and how to choose the right one for your team.
Why AI Matters for Legal Teams
Legal work often involves repetitive, detail-heavy tasks that take significant time and attention. AI can help with many of these workflows by speeding up document review, improving legal research, extracting key information from contracts, and summarizing long materials.
For legal teams, the value is straightforward:
- less time spent on manual review
- faster access to relevant information
- better support for drafting and analysis
- more time for strategy and client service
Used well, AI helps legal teams work more efficiently without sacrificing quality.
The Best AI Tools for Legal Teams
1. RelativityOne
What it does:
RelativityOne is a leading e-discovery platform that uses AI and machine learning to help legal teams review and analyze large volumes of electronically stored information.
Key capabilities include:
- Technology-Assisted Review (TAR) for identifying relevant documents
- Active Learning to improve review accuracy over time
- Conceptual Search for finding documents by meaning, not just keywords
- Data visualization for tracking review progress and document populations
Why it is useful:
RelativityOne is built for high-volume legal matters where manual review would be slow and expensive. It helps teams identify important documents faster, reduce review costs, and move matters forward more efficiently.
Best fit:
- Large-scale litigation
- Internal investigations
- Regulatory reviews
- Matters involving large amounts of unstructured data
Pros:
- Strong e-discovery functionality
- Scales well for large matters
- Advanced analytics and integrations
- Strong security and compliance features
Cons:
- Can be complex to implement and manage
- Higher cost than lighter-weight tools
- May require training to use effectively
2. Casetext CoCounsel
What it does:
CoCounsel is an AI legal assistant designed to help with research, drafting, review, and summarization. It uses natural language processing to make legal tasks more accessible and efficient.
Key capabilities include:
- AI legal research
- Drafting support for legal documents
- Document review and summarization
- Deposition preparation support
Why it is useful:
CoCounsel helps legal professionals spend less time on routine research and drafting. It is especially useful for teams that want an AI assistant that can support day-to-day legal work without the complexity of a full e-discovery platform.
Best fit:
- Law firms of all sizes
- Solo practitioners
- Small to mid-sized firms
- Teams that need help with research, drafting, and document analysis
Pros:
- Natural language search is easy to use
- Strong generative AI features
- Useful across multiple legal tasks
- More accessible than some enterprise platforms
Cons:
- Outputs still need careful review
- Less specialized for e-discovery than dedicated platforms
- Newer than some established legal research products
3. Lexis+ AI
What it does:
Lexis+ AI combines LexisNexis legal content with AI tools for research and document analysis.
Key capabilities include:
- AI-powered legal search
- Document analysis and summarization
- Brief analysis
- Identification of relevant authorities and key issues
Why it is useful:
Lexis+ AI is designed to make legal research faster and more practical. It helps users work through complex materials more efficiently by surfacing relevant information and summarizing dense content.
Best fit:
- Law firms and legal departments already using LexisNexis
- Teams that need stronger research support
- Lawyers preparing briefs, case assessments, or legal memoranda
Pros:
- Backed by a large legal content library
- Familiar interface for Lexis users
- Strong research and analysis features
- Useful for a broad range of legal tasks
Cons:
- Can be expensive
- Some features may be better suited to specific workflows
- Human review is still necessary for nuanced legal work
4. Luminance
What it does:
Luminance is focused on AI-powered contract review and analysis. It helps legal teams understand, compare, and extract information from contracts.
Key capabilities include:
- Contract analysis and clause identification
- Flagging non-standard language
- Data extraction for due diligence and compliance
- Comparison across contract sets and agreement types
Why it is useful:
Contract review is time-consuming and detail-heavy. Luminance helps teams identify risks and inconsistencies faster, which is especially valuable in transactional work and compliance review.
Best fit:
- Transactional lawyers
- Corporate legal departments
- Compliance teams
- M&A and due diligence workflows
Pros:
- Strong contract analysis capabilities
- Saves time on review and data extraction
- Helpful for due diligence
- Clear risk indicators
Cons:
- More specialized than general-purpose tools
- Best suited to contract-heavy workflows
- Pricing can be significant for high-volume use
5. eBrevia
What it does:
eBrevia, now part of Donnelley Financial Solutions, uses AI to automate contract analysis and due diligence.
Key capabilities include:
- Extraction of key contract data
- Clause classification
- Automated due diligence review
- Contract comparison
Why it is useful:
eBrevia is designed to quickly pull important information from large groups of contracts. This makes it useful for teams that need to review agreements at scale and identify key terms, obligations, or risks.
Best fit:
- Mergers and acquisitions
- Real estate transactions
- Loan portfolio reviews
- Large-scale contract analysis
Pros:
- Efficient data extraction from legal documents
- Reduces manual review time
- Useful for due diligence workflows
- Supports contract comparison at scale
Cons:
- Focused mainly on contract analysis
- Depends on document quality and structure
- Less useful for broader legal research needs
How to Choose the Right AI Tool for Your Legal Team
Choosing the best AI tool for your legal team starts with a clear understanding of your workflow. The right tool depends on what slows your team down most and where automation will create the most value.
Consider these factors:
1. Identify your biggest pain points
Start with the tasks that take the most time. Common candidates include document review, legal research, contract analysis, and drafting.
2. Match the tool to your practice area
Different tools are built for different use cases:
- RelativityOne for e-discovery and litigation support
- Luminance or eBrevia for contract-heavy workflows
- CoCounsel or Lexis+ AI for research, review, and drafting
3. Check integration options
Make sure the tool fits with your existing document management, practice management, and review systems. Poor integration can create more work, not less.
4. Evaluate ease of use
Some tools are simple to adopt, while others require more training and setup. Choose a platform your team can realistically use well.
5. Test before committing
Pilot programs and trials are valuable. They let your team evaluate the tool in real workflows before making a larger investment.
6. Think about scalability
The tool should be able to grow with your team, your case volume, and your client needs.
7. Prioritize data security
Legal teams handle sensitive information, so security and confidentiality should be non-negotiable.
Pricing and Value Considerations
AI tools for legal teams vary widely in price. Some use subscription pricing, while others charge based on usage, data volume, or documents processed.
Common pricing models include:
- Subscription plans for AI assistants and research tools
- Usage-based pricing for e-discovery platforms
- Per-document or per-contract pricing for specialized review tools
When evaluating cost, look beyond the sticker price. Consider:
- time saved on repetitive tasks
- reduced risk of manual error
- improved turnaround time
- the ability to take on more matters
- better client service and responsiveness
The right tool should create value through efficiency, not just add another software expense.
Frequently Asked Questions
Can AI tools replace lawyers?
No. AI tools are designed to support legal professionals, not replace them. They can automate repetitive work and improve efficiency, but legal judgment still requires human expertise.
How do I make sure AI output is accurate?
All AI-generated output should be reviewed by legal professionals. AI can help with speed and scale, but it can still produce errors or miss context.
Are AI tools for legal teams expensive?
Pricing varies. Some tools are accessible through subscriptions, while others, especially enterprise e-discovery platforms, can be a major investment. The key is to evaluate return on investment, not just upfront cost.
What kind of training do these tools require?
It depends on the tool. Some AI assistants are easy to adopt, while more advanced platforms may require formal onboarding and training.
How can AI improve billing efficiency?
By reducing the time spent on routine work, AI can help legal teams focus on higher-value tasks. That can improve profitability and make service delivery more efficient.
What is the biggest challenge in adopting AI?
Change management is often the biggest hurdle. Teams need training, clear expectations, and confidence that the tool will genuinely improve workflow. Security and privacy concerns also need careful attention.
Conclusion
The best AI tools for legal teams are the ones that solve real workflow problems. Whether your team needs better e-discovery, faster research, smarter contract analysis, or more efficient document review, there are strong options available.
RelativityOne, CoCounsel, Lexis+ AI, Luminance, and eBrevia each serve different legal needs. The right choice depends on your practice area, team size, budget, and day-to-day bottlenecks.
For legal teams looking to work faster and more effectively, AI is no longer optional to explore. It is becoming an important part of modern legal practice.