The Best AI Tools for Law Firms in 2024
Artificial intelligence is changing how law firms work. What was once a slow-moving industry is now using AI to speed up research, streamline document review, improve contract analysis, and reduce time spent on repetitive tasks.
For firms that want to stay competitive, the goal is not to replace legal expertise. It is to support it. The best AI tools for law firms help attorneys and staff work more efficiently, reduce manual effort, and spend more time on high-value legal work and client service.
Why AI Tools Matter for Law Firms
Law firms are under pressure to deliver faster results, manage larger volumes of information, and control costs. At the same time, legal work often involves document-heavy, detail-sensitive tasks that are time-consuming when handled manually.
AI can help law firms:
- Increase efficiency by automating repetitive work
- Improve accuracy in review, extraction, and analysis
- Speed up legal research and case preparation
- Streamline workflows across matters and teams
- Support faster turnaround times for clients
- Reduce risk by flagging issues in contracts and documents
Used well, AI is not just a convenience. It is a practical way to improve how a firm operates.
Top AI Tools for Law Firms
The best tool depends on your firm’s size, practice area, and workflow. Some tools are built for litigation and eDiscovery, while others focus on research, drafting, or contract review.
1. Everlaw: AI-Powered eDiscovery and Litigation Platform
What it does:
Everlaw is a cloud-based eDiscovery platform that uses AI and machine learning to support litigation workflows. It helps teams review documents, organize large datasets, identify similar materials, and prioritize relevant information.
Why it is useful:
Litigation often involves massive document sets. Everlaw helps reduce the time spent on manual review by clustering documents and highlighting materials that may matter most. That can make discovery faster, more organized, and easier to manage.
Best for:
Litigation-focused firms that handle large volumes of electronic data and want a collaborative eDiscovery platform.
Pros:
- Strong AI support for document review and coding
- Intuitive interface with collaboration features
- End-to-end eDiscovery workflow
- Scales well for large datasets
Cons:
- Learning curve for users new to eDiscovery software
- Usage-based pricing can be harder to predict
- Focused more on eDiscovery than broader practice management
2. LexisNexis Legal AI: Research and Legal Analysis
What it does:
LexisNexis has integrated AI across its legal research platform, including Lexis+ AI. It can help summarize cases, answer legal questions, and support drafting by pulling from statutes, case law, and secondary sources.
Why it is useful:
Legal research can take significant time, especially when attorneys need to compare authorities or build an initial draft. Lexis+ AI speeds up the process by helping users find relevant material and generate summaries that can serve as a starting point for deeper analysis.
Best for:
Firms of all sizes that rely heavily on legal research, drafting, and advisory work.
Pros:
- Access to a large and established legal database
- AI features for summarization and drafting
- Helps improve research speed and depth
- Ongoing product development and updates
Cons:
- Subscription costs can be high
- AI outputs still require human review
- May take time for users to adapt to new workflows
3. RelativityOne: Scalable eDiscovery and Forensics
What it does:
RelativityOne is a cloud-based platform for managing large, complex legal data sets. It uses AI and machine learning for tasks like Technology Assisted Review (TAR), helping teams identify responsive documents more efficiently.
Why it is useful:
For firms handling large litigation matters, investigations, or regulatory reviews, RelativityOne offers the scale and structure needed to manage high-volume data. Its AI features help reduce manual review and improve overall efficiency.
Best for:
Large law firms, in-house legal teams, and eDiscovery providers working on complex matters.
Pros:
- Secure and scalable cloud environment
- Strong AI tools for TAR and analysis
- Robust case and workflow management
- Integrates with other legal tech tools
Cons:
- Primarily focused on eDiscovery and investigations
- Can be complex to implement and manage
- Pricing may be costly for some firms
4. Kira Systems: Contract Analysis and Due Diligence
What it does:
Kira Systems uses AI to extract and analyze key provisions from contracts and other legal documents. It can identify clauses, compare agreements, and support due diligence, compliance, and contract management workflows.
Why it is useful:
Reviewing large numbers of contracts manually can be slow and error-prone. Kira helps teams find important provisions such as termination rights, liability limits, and governing law clauses much faster.
Best for:
Transactional firms, corporate legal teams, and private equity groups that review large contract portfolios or conduct due diligence.
Pros:
- Strong clause extraction capabilities
- Speeds up contract review and due diligence
- Reduces risk of missed provisions
- Can be configured for specific clause types
Cons:
- Focused on contract analysis, not general legal research
- Requires setup and training
- Performance may vary with document formatting and complexity
5. Casetext CoCounsel: Generative AI for Legal Workflows
What it does:
CoCounsel, developed by Casetext and now part of Thomson Reuters, is a generative AI legal assistant that supports drafting, legal research, deposition prep, summarization, and document analysis.
Why it is useful:
CoCounsel is designed to help lawyers move faster on routine but time-consuming tasks. It can generate first drafts, summarize complex materials, and assist with case preparation, giving attorneys more time to focus on strategy and review.
Best for:
Attorneys and paralegals across practice areas who want support for drafting, research, and case analysis.
Pros:
- Broad set of AI capabilities for legal work
- Supports both drafting and analysis
- Helps reduce time spent on routine tasks
- Continues to evolve with model updates
Cons:
- Generative outputs require close human review
- Subscription pricing may be a factor for smaller firms
- Newer than some established legal platforms
6. Logikcull: Automated Document Review and Processing
What it does:
Logikcull is a cloud-based platform that simplifies document processing and review for legal teams. It uses AI to help process large volumes of data, identify relevant information, and speed up discovery workflows.
Why it is useful:
Logikcull helps firms manage unstructured data more efficiently. By automating early-stage processing and review, it can reduce manual effort, shorten discovery timelines, and lower case costs.
Best for:
Law firms and legal departments that want a more accessible document review solution for litigation, investigations, and compliance work.
Pros:
- User-friendly and fast to adopt
- Automates key document processing steps
- Often seen as cost-effective
- Includes AI-powered analytics
Cons:
- Less specialized than some enterprise eDiscovery platforms
- Best used as part of a broader discovery strategy
- May offer fewer customization options than larger systems
How to Choose the Right AI Tool for Your Firm
The right AI tool depends on the work your firm does most often. Before choosing a platform, consider:
- Your biggest pain points: Are you spending too much time on research, review, drafting, or contract analysis?
- Your practice area: Transactional firms and litigation firms usually need different tools.
- Firm size and budget: Enterprise platforms may be better for large teams, while smaller firms may prefer targeted tools with lower upfront costs.
- Integration needs: Make sure the tool works with your document management, practice management, or research systems.
- Ease of use: A tool only creates value if your team will actually use it.
- Scalability: Choose software that can grow with your caseload and document volume.
- Security and privacy: Legal data is sensitive, so vendor protections and compliance standards matter.
Pricing and Value Considerations
AI tools for law firms come with different pricing models. Common structures include:
- Per-user licenses
- Tiered subscriptions
- Usage-based pricing
- Project-based fees
When evaluating cost, look beyond the sticker price. A tool may be worth the investment if it reduces manual labor, improves accuracy, shortens turnaround times, or helps your firm handle more work without adding headcount.
Frequently Asked Questions About AI Tools for Law Firms
Will AI replace lawyers?
No. AI is more likely to support lawyers than replace them. It can automate routine tasks, but legal judgment, strategy, and client counseling still require human expertise.
Are AI tools reliable for legal work?
Many AI tools are reliable for tasks like document review and research support. However, generative AI outputs should always be checked by a qualified legal professional before use.
How can law firms protect data when using AI tools?
Choose vendors with strong security practices, clear privacy policies, encryption, and relevant compliance measures. It is also important to understand where data is stored and how it is handled.
How long does implementation usually take?
It depends on the tool. Some cloud-based products can be used quickly, while more complex eDiscovery or contract analysis platforms may take weeks or longer to fully implement.
Can small law firms afford AI tools?
Yes. Many vendors offer lower-cost plans, cloud-based access, and tools designed for specific tasks, which can make AI more accessible to small firms and solo practitioners.
Conclusion
AI is becoming a practical part of legal work, not just an emerging trend. The best AI tools for law firms can improve efficiency, reduce manual work, support better decision-making, and help firms deliver stronger client service.
Whether your firm needs help with research, contract review, eDiscovery, or drafting, the right tool can create meaningful time savings and operational advantages. The key is to choose software that fits your workflow, budget, and practice needs.