The Best AI Tools for Law Firms in 2024
Artificial intelligence is changing how law firms work. What used to take hours of manual review, research, or drafting can now be accelerated with AI-powered tools. For law firms, the value is practical: faster workflows, better organization, stronger insights, and more time for client-facing work.
This guide covers some of the best AI tools for law firms, what they do, where they fit best, and how to choose the right ones for your practice.
Why AI Tools Matter for Law Firms
Law firms handle heavy workloads every day. Attorneys and legal staff spend time on research, document review, contract analysis, case preparation, and client intake. These tasks are essential, but they are also time-consuming and susceptible to human error.
AI tools help by automating repetitive work and making legal data easier to analyze. That can lead to:
- Faster document review and legal research
- More accurate analysis of contracts and case materials
- Better client service through quicker turnaround times
- Lower operating costs through improved efficiency
- A competitive edge in a market where clients expect modern workflows
AI is not a replacement for legal judgment. It is a support layer that helps firms work more efficiently and consistently.
Best AI Tools for Law Firms
1. Disco
Disco is a legal analytics platform that uses AI to analyze court dockets, rulings, filings, and other litigation data. It helps lawyers understand judges, opposing counsel, law firms, and parties so they can make more informed decisions.
Why it stands out:
Disco is especially useful for litigation strategy. It can surface patterns in past cases, help predict possible outcomes, and support better preparation for negotiations or trial. Its research features also make it easier to find relevant legal information quickly.
Best for:
Litigators, trial teams, and firms that want deeper visibility into case trends and judicial behavior.
Pros:
- Strong litigation analytics
- Useful predictive insights
- Integrated legal research features
- Clear data visualization
Cons:
- May be expensive for smaller firms
- Takes time to learn fully
- Best suited to litigation, not transactional work
2. Everlaw
Everlaw is an end-to-end eDiscovery platform that uses AI to help with document review, case preparation, and litigation support. Its features include clustering, concept search, and predictive coding to prioritize relevant documents faster.
Why it stands out:
Litigation and investigations often involve large volumes of electronically stored information. Everlaw helps teams sort through that material more efficiently, reducing manual review and improving collaboration across the case team.
Best for:
Firms that handle litigation, investigations, or any matter involving substantial document volumes.
Pros:
- Strong AI-assisted document review
- Full eDiscovery workflow
- Good collaboration features
- Scales for firms of different sizes
Cons:
- Can be complex at first
- Costs may increase with larger data sets
- Still requires human review and quality control
3. Casetext Compose
Casetext Compose is an AI drafting assistant that helps lawyers generate first drafts of briefs, memos, motions, and other legal documents. It uses large language models to produce context-aware text based on prompts and legal context.
Why it stands out:
Drafting is one of the most time-intensive parts of legal work. Compose gives lawyers a starting point, which can save time and reduce blank-page friction. The output still needs careful review, but it can speed up the drafting process significantly.
Best for:
Litigators, transactional lawyers, and in-house counsel who regularly draft legal documents.
Pros:
- Speeds up drafting
- Helps generate initial drafts quickly
- Supports legal research workflows
- Useful for standardizing firm drafting
Cons:
- Requires careful attorney review
- Output may need substantial refinement
- Does not replace legal judgment
4. Kira Systems
Kira Systems is an AI contract analysis platform designed to extract, review, and analyze clauses and key data points from large volumes of contracts. It uses machine learning to identify provisions and organize contract information efficiently.
Why it stands out:
For due diligence, M&A, compliance reviews, and other contract-heavy work, Kira can save significant time. It helps teams identify obligations, risks, and critical terms without relying entirely on manual review.
Best for:
Corporate teams, M&A practices, real estate firms, and any legal team that reviews many contracts.
Pros:
- Strong at clause and data extraction
- Reduces time spent on contract review
- Improves consistency
- Useful reporting and data organization
Cons:
- Needs setup and training for best results
- Can be costly for smaller firms
- Still requires legal interpretation of findings
5. ROSS Intelligence
ROSS Intelligence originally gained attention as a natural-language legal research assistant and now exists within Thomson Reuters offerings. Its AI capabilities are used to improve legal research and support analysis of legal documents.
Why it stands out:
ROSS-style search is valuable because it lets lawyers ask questions in plain English instead of relying only on keyword searches. That can make legal research faster and more intuitive, especially when working through complex issues.
Best for:
Legal professionals who spend significant time on research, case analysis, and precedent review.
Pros:
- Natural language search is easier to use
- Can surface relevant information quickly
- Part of a broader legal research ecosystem
- Backed by a major legal tech provider
Cons:
- The original standalone product is less distinct now
- Works best with precise questions
- May take time to adjust to the search style
6. Intapp
Intapp is a professional services software platform with AI capabilities that are especially useful for law firms. Its tools support client intake, business development, and practice management.
Why it stands out:
For many firms, growth and client relationships are just as important as case work. Intapp helps firms manage intake more efficiently, identify opportunities within existing relationships, and improve operational consistency.
Best for:
Managing partners, business development teams, and operations leaders at law firms.
Pros:
- Supports client intake and business development
- Helps improve workflow efficiency
- Offers insights into client and firm trends
- Useful across several firm functions
Cons:
- More of a broader platform than a single-purpose tool
- May require adopting multiple modules
- Pricing can be significant depending on configuration
How to Choose the Right AI Tools for Your Firm
Not every law firm needs the same AI stack. The best choice depends on your practice areas, workflows, and budget.
Start by asking:
- What are your biggest bottlenecks?
If document review is overwhelming, look at eDiscovery or contract analysis tools. If drafting takes too long, an AI drafting assistant may be a better fit.
- What type of work does your firm handle?
Litigation firms may benefit most from analytics and discovery tools. Transactional firms may get more value from contract analysis platforms. Smaller firms may prefer tools that save time on drafting and research.
- Will the tool fit your existing workflows?
A good AI product should integrate with your current systems and be easy enough for your team to adopt.
- How will client data be protected?
Security, confidentiality, and privacy controls should be a top priority. Review vendor policies carefully.
- Can you test before committing?
A pilot program can help you evaluate whether the tool really improves efficiency before you roll it out firm-wide.
- What support and training are available?
Strong vendor support can make a major difference in adoption and long-term value.
Pricing and Value Considerations
AI tools for law firms vary widely in cost. Some use monthly or annual subscriptions, while others charge based on usage, data volume, or enterprise licensing.
Common pricing models include:
- Subscription pricing: Predictable monthly or annual fees
- Usage-based pricing: Costs tied to documents, queries, or data processed
- Enterprise pricing: Custom pricing for larger firms or broader deployments
When evaluating value, look beyond the sticker price. Consider:
- Time saved by attorneys and staff
- Reduced outside vendor spend
- Faster turnaround on matters
- Better client service and responsiveness
- Lower risk from missed issues or manual errors
A higher-priced tool may still be worthwhile if it saves enough time or improves key workflows. Always ask for a demo and compare pricing against the operational value it can deliver.
Frequently Asked Questions About AI Tools for Law Firms
Will AI replace lawyers?
No. AI is best used as an assistant. It can speed up routine work and improve research, but it does not replace legal reasoning, judgment, or client counseling.
How do law firms protect client data when using AI tools?
Choose vendors with strong security practices, including encryption and clear privacy policies. Look for compliance commitments and review how data is stored, processed, and retained.
Is there a steep learning curve?
It depends on the tool. Some platforms are easy to adopt, while more advanced systems may require training. Good vendor support makes a big difference.
Can AI tools help with billing and timekeeping?
Some platforms can assist with timekeeping or billing analysis, but these functions are usually strongest in dedicated practice management software.
How much do AI tools cost?
Pricing varies widely. Some research tools may cost a few hundred dollars per month, while larger eDiscovery or contract analysis platforms may cost much more depending on firm size and usage.
Conclusion
The best AI tools for law firms can improve efficiency, support better decisions, and reduce repetitive work across research, drafting, document review, contract analysis, and client management.
The right tool depends on your firm’s priorities. Litigation teams may value analytics and eDiscovery. Transactional practices may benefit more from contract review. Firms focused on growth and operations may prioritize intake and business development tools.
AI is now a practical part of modern legal work. For firms that choose carefully and implement thoughtfully, it can create real operational value and improve the way legal services are delivered.