The Best AI Tools for Legal Teams: A Practical Guide
Legal teams are under constant pressure to do more with less. Research, document review, discovery, drafting, and case management all take time, and the margin for error is small. AI is now helping legal professionals handle these demands more efficiently by automating repetitive work, surfacing relevant information faster, and supporting better decision-making.
This guide covers the best AI tools for legal teams, what each one does, where it fits best, and what to consider before adopting one.
Why AI Matters for Legal Teams
AI is becoming useful in legal practice because it can reduce the time spent on high-volume, repetitive tasks. That includes reviewing contracts, searching case law, summarizing documents, and managing discovery workflows.
For legal teams, the value is practical:
- Faster research and document review
- Better visibility into large document sets
- Less manual administrative work
- Improved consistency across workflows
- More time for higher-value legal analysis and client service
The right AI tool will not replace legal judgment, but it can make legal work faster, more organized, and easier to scale.
Best AI Tools for Legal Teams
1. Luminance
What it does:
Luminance is an AI-powered legal document review and data room platform built to accelerate due diligence, contract analysis, and other large-scale review tasks. It uses machine learning to identify legal language, flag unusual clauses, and organize documents by relevance.
Why it’s useful:
Luminance helps legal teams review large volumes of documents faster and with less manual effort. It is especially useful for spotting deviations from standard language, highlighting risks, and building a faster initial understanding of a deal or matter.
Best for:
Corporate legal departments, M&A teams, and firms handling large transaction or litigation document sets.
Pros:
- Fast document review
- Strong clause and anomaly detection
- Intuitive for legal users
- Well suited to due diligence and contract analysis
Cons:
- Can be expensive for smaller teams
- May require onboarding and setup to get the most value
2. Casetext CoCounsel
What it does:
Casetext’s CoCounsel is an AI legal assistant that supports research, drafting, deposition summarization, factual analysis, and preparation for meetings. It uses large language models to help legal professionals work through complex tasks more quickly.
Why it’s useful:
CoCounsel is designed to assist with research and drafting in a conversational way. It can help lawyers find relevant authorities, summarize long materials, and create first drafts that can be refined by an attorney.
Best for:
Litigators and transactional lawyers who need support with research, drafting, and document-heavy workflows.
Pros:
- Strong AI drafting and research support
- Good at summarizing legal materials
- Easy conversational interface
- Useful for first-pass legal work
Cons:
- Outputs still require careful review
- Features may continue to evolve quickly
3. DISCO AI
What it does:
DISCO AI is an eDiscovery platform that uses AI to support the identification, collection, review, and analysis of electronically stored information. It includes tools such as predictive coding, OCR, and other document analysis capabilities.
Why it’s useful:
Discovery is often one of the most time-consuming parts of litigation. DISCO AI helps reduce the amount of data that needs manual review and makes it easier to identify relevant evidence faster.
Best for:
Litigation teams, investigations, and regulatory matters involving large volumes of ESI.
Pros:
- Strong eDiscovery functionality
- Helps reduce review volume and cost
- Scales well for large matters
- Supports faster evidence identification
Cons:
- Focused mainly on eDiscovery
- May be a significant investment
4. Everlaw
What it does:
Everlaw is a cloud-based eDiscovery and case management platform with AI features that support document review, clustering, de-duplication, near-duplicate detection, and sentiment analysis.
Why it’s useful:
Everlaw helps legal teams find patterns and key documents more quickly in large datasets. Its cloud-based design and collaborative features make it easier to manage discovery workflows and coordinate across teams.
Best for:
Litigation teams working with large volumes of electronic evidence.
Pros:
- User-friendly interface
- Strong collaboration features
- Effective for identifying document relationships
- Cloud-based and scalable
Cons:
- More focused on discovery than broader legal work
- Pricing can increase with usage
5. Lexis+ AI
What it does:
Lexis+ AI combines LexisNexis legal research content with AI-powered research, document analysis, and drafting tools. It can summarize cases, identify statutes, and help generate initial drafts using natural language prompts.
Why it’s useful:
Lexis+ AI speeds up legal research by helping users find relevant authorities and synthesize information more efficiently. It is especially valuable for teams that already rely on LexisNexis content.
Best for:
Legal professionals who need comprehensive research support and draft assistance.
Pros:
- Backed by a large legal research database
- Supports both research and drafting
- Familiar platform for many users
- Useful for broad legal analysis
Cons:
- Can be expensive
- Performance depends on the quality and depth of underlying content
6. Resolve
What it does:
Resolve is a legal project management and workflow automation tool that helps teams manage cases, tasks, deadlines, and client communication. Its AI features are aimed at improving legal operations rather than legal research or document review.
Why it’s useful:
Resolve helps legal teams stay organized, reduce missed deadlines, and standardize internal workflows. It can also improve visibility into team workload and matter status.
Best for:
Law firms and legal departments looking to improve case tracking, task management, and administrative efficiency.
Pros:
- Improves workflow and project management
- Reduces admin burden
- Supports better collaboration
- Helps teams track matter progress
Cons:
- Not focused on legal analysis or research
- May require process changes for adoption
How to Choose the Right AI Tool for Your Legal Team
The best AI tools for legal teams depend on your priorities, budget, and existing systems. Before choosing a platform, consider the following:
- Primary use case: Are you focused on legal research, contract review, eDiscovery, drafting, or workflow management?
- Team size and budget: Enterprise-grade tools may be better suited to larger firms, while smaller teams may need more flexible pricing.
- Integration: Check whether the tool works with your document management, practice management, or workflow systems.
- Ease of use: Some platforms are straightforward, while others require more training and setup.
- Security and confidentiality: Legal data is sensitive, so review encryption, access controls, privacy terms, and compliance standards carefully.
Pricing and Value
AI tools for legal teams use different pricing models. Some are subscription-based, while others charge based on usage, data volume, or the number of users.
When evaluating cost, look beyond the monthly fee. Consider the time saved, the reduction in manual review, and the potential to cut outside vendor costs. A higher-priced tool may still offer strong value if it saves substantial attorney hours or improves accuracy on high-stakes work.
Many vendors offer demos or trials, which can help you assess whether the tool fits your team’s workflow before committing.
Frequently Asked Questions
Will AI replace lawyers?
No. AI is best used to support lawyers, not replace them. It can automate repetitive work, but it cannot replace legal judgment, advocacy, or client counseling.
How do legal teams protect confidentiality when using AI tools?
Choose reputable vendors with strong security controls, clear data handling policies, and relevant compliance certifications. Review how data is stored, used, and accessed before adoption.
Are these tools hard to learn?
It depends on the platform. Some tools are designed to be intuitive, while others require more onboarding or training. Teams should factor in implementation time.
Can AI handle every legal task?
No. AI is useful for many document-heavy and repetitive tasks, but it is not equally effective across every document type or legal workflow. Human review is still necessary.
How do I justify the cost?
Focus on ROI. Emphasize time savings, reduced manual work, improved consistency, and the potential to deliver faster client service.
Conclusion
AI is becoming a practical part of modern legal work. The best AI tools for legal teams can speed up research, simplify document review, improve discovery workflows, and reduce administrative overhead.
Whether your team needs support with litigation, contracts, legal research, or operations, tools like Luminance, CoCounsel, DISCO AI, Everlaw, Lexis+ AI, and Resolve offer different strengths for different use cases. The right choice depends on your workflow, budget, and security requirements.
For legal teams looking to improve efficiency without sacrificing quality, AI is no longer optional to explore. It is becoming an important part of how legal services are delivered.