Best Ai Tools For Contract Review

The 10 Best AI Tools for Contract Review in 2024

In today’s fast-moving business environment, legal teams and companies often need to review large volumes of contracts quickly and carefully. NDAs, vendor agreements, leases, employment contracts, and sales agreements all need close attention to identify risk, confirm compliance, and pull out key terms.

Manual contract review is slow, repetitive, and expensive. It also increases the chance of missed clauses and inconsistent results. AI-powered contract review tools help solve these problems by speeding up review, improving consistency, and surfacing issues that may otherwise be overlooked.

This guide covers some of the best AI tools for contract review in 2024, along with their strengths, common use cases, and key factors to consider before choosing one.

Why AI-Powered Contract Review Matters

For legal departments, in-house counsel, contract managers, and small businesses, contract review is more than a routine task. A missed obligation, non-standard clause, or compliance issue can lead to financial loss, disputes, or regulatory problems.

Traditional review requires lawyers and paralegals to read dense documents, compare language against standards, and flag deviations manually. That process can create bottlenecks, especially when contract volume is high. It also leaves room for human error, particularly when timelines are tight.

AI contract review tools can help by:

  • Accelerating review times: Scan and analyze contracts in minutes instead of hours or days
  • Improving consistency: Identify clauses and patterns more reliably across large document sets
  • Flagging risk: Highlight non-standard language, missing terms, and compliance issues
  • Extracting key data: Pull out dates, parties, payment terms, obligations, and other important details
  • Reducing costs: Automate repetitive work so legal teams can focus on higher-value tasks
  • Standardizing review: Apply internal playbooks and policy rules more consistently across the business

Used well, AI is not just a productivity tool. It can also reduce operational risk and support faster, more informed contract decisions.

The Best AI Tools for Contract Review in 2024

The right tool depends on your contract volume, review process, and budget. Here are some of the leading AI-powered options to consider.

1. Kira Systems, now part of Litera

What it does:

Kira is an AI-powered contract analysis platform used for due diligence, lease abstraction, and other document review tasks. It uses machine learning to identify and extract clauses, risks, and obligations from legal documents using pre-built and custom models.

Why it’s useful:

Kira is especially strong at finding specific provisions and data points across large volumes of contracts. Its reporting features and ability to handle complex legal language make it a strong fit for M&A due diligence, compliance work, and portfolio review.

Best for:

M&A due diligence, lease abstraction, large contract portfolio reviews, and other high-volume document analysis projects.

Pros:

  • Strong accuracy for clause and data extraction
  • Well suited to M&A and due diligence workflows
  • Customizable models
  • Integrates with other legal tech tools

Cons:

  • Can be difficult to learn at first
  • May be too expensive for smaller organizations
  • Better suited to data-heavy review than simple one-off contract checks

2. Eversheds Sutherland Clara

What it does:

Clara is an AI-powered contract review platform developed by the law firm Eversheds Sutherland. It helps legal teams review contracts by identifying deviations from standard positions, flagging risks, and extracting commercial terms.

Why it’s useful:

Clara combines legal knowledge with AI. It is designed to learn from legal team feedback and adapt to internal policies and risk preferences, which makes it useful for organizations that want a tailored review process.

Best for:

In-house legal teams that want to standardize contract review, reduce outside counsel spend, and enforce internal playbooks. It works well for NDAs, vendor contracts, and sales agreements.

Pros:

  • Built with legal expertise
  • Strong at deviation analysis and risk flagging
  • Can be trained on internal playbooks
  • Helps improve consistency

Cons:

  • Requires setup and training around your team’s standards
  • Often priced for enterprise buyers

3. ContractPodAi

What it does:

ContractPodAi is a contract lifecycle management platform with AI features for drafting, review, approval, obligation tracking, and contract analytics. It supports the full contract process, not just review.

Why it’s useful:

Because the AI is built into a broader CLM system, review insights can feed directly into contract creation, execution, and ongoing management. That makes it useful for teams that want one platform for the full workflow.

Best for:

Organizations looking for a complete contract management solution with AI-assisted review built in.

Pros:

  • Full CLM functionality beyond review
  • Useful for drafting and analysis
  • Strong for enterprise contract operations
  • User-friendly for broader contract workflows

Cons:

  • Bigger investment than standalone tools
  • May be more than smaller teams need if they only want review support

4. LexCheck

What it does:

LexCheck focuses on automating commercial contract review and negotiation. It analyzes contracts, flags risk, and suggests revisions based on pre-defined playbooks.

Why it’s useful:

LexCheck is especially helpful for teams that spend a lot of time redlining and negotiating external contracts. It can reduce back-and-forth by highlighting issues and suggesting preferred language.

Best for:

Sales and procurement teams, as well as legal teams handling a high volume of external-facing agreements.

Pros:

  • Strong for negotiation workflows
  • Helps speed up deal cycles
  • Supports risk-based suggestions
  • Works well with standard playbooks

Cons:

  • More focused on negotiation than broader due diligence
  • Works best when playbooks are clearly defined

5. Loomis, Griswold & Co. (LGCR)

What it does:

LGCR offers AI-powered solutions for legal due diligence and contract review, especially for litigation support and regulatory compliance. Its platform uses NLP to identify and analyze key information across large document sets.

Why it’s useful:

LGCR is built for precision in complex review environments. It can help legal teams sort through large volumes of documents during discovery, audits, and investigations.

Best for:

Law firms and corporate legal departments handling litigation, regulatory reviews, or compliance audits.

Pros:

  • Strong for complex legal analysis
  • Useful in litigation and regulatory contexts
  • Efficient with large document volumes

Cons:

  • More specialized than some other tools
  • May require more expertise to deploy
  • Typically geared toward larger legal organizations

6. LawGeex

What it does:

LawGeex is an AI contract review platform focused on speed and accuracy for routine legal agreements. It reviews contracts against custom playbooks and highlights deviations, risks, and key information.

Why it’s useful:

LawGeex is well suited to standardized contracts such as NDAs, MSAs, and SaaS agreements. It helps legal teams handle repetitive review work more efficiently and consistently.

Best for:

Legal departments and businesses managing a high volume of routine contracts.

Pros:

  • Fast for standard contracts
  • Easy to use
  • Supports custom playbooks
  • Good for improving consistency

Cons:

  • Less suited to highly bespoke agreements
  • Less emphasis on full contract lifecycle management

7. Luminance

What it does:

Luminance is an AI legal analysis platform for contract review and due diligence. It reads legal documents, identifies clauses and anomalies, and flags potential risks. It is designed to adapt across document types and jurisdictions.

Why it’s useful:

Luminance is flexible enough to support more than just contract review. Legal teams also use it for due diligence, discovery, and compliance work, making it a versatile option for broader legal analysis.

Best for:

Law firms and in-house teams that need a flexible AI tool for contract review, M&A due diligence, and litigation support.

Pros:

  • Versatile across multiple legal use cases
  • Strong for due diligence
  • User-friendly interface
  • Learns from user feedback

Cons:

  • Can be a significant investment
  • Best for teams with ongoing demand for advanced legal AI

How to Choose the Right AI Tool for Contract Review

The best tool for your team depends on your documents, workflow, and internal requirements. Consider the following:

  • Contract volume and complexity: High-volume, standardized reviews may suit tools like LawGeex or LexCheck. Complex due diligence or bespoke agreements may call for Kira or Luminance.
  • Primary use case: Decide whether you need support for due diligence, negotiation, compliance, risk review, or obligation management.
  • Integration needs: Check whether the tool works with your CLM, CRM, or other legal tech systems.
  • Customization and playbooks: Make sure the platform can reflect your internal policies, preferred clauses, and risk thresholds.
  • Ease of use: Adoption matters. Choose a tool your team can learn and use efficiently.
  • Accuracy and reporting: Look for clear outputs that make review results easy to understand and act on.
  • Vendor support and training: Strong onboarding and support can make a big difference, especially for advanced tools.
  • Scalability: Pick a platform that can grow with your contract volume and review needs.

Pricing and Value Considerations

AI contract review tools vary widely in price. Common pricing models include:

  • Subscription-based pricing: Monthly or annual fees, often tiered by features or usage
  • Per-contract pricing: Charges based on the number of contracts reviewed
  • Enterprise licensing: Custom pricing for larger organizations

When comparing tools, focus on value rather than sticker price alone. Consider:

  • Time saved on manual review
  • Fewer errors and missed issues
  • Faster deal cycles
  • Reduced reliance on outside counsel
  • Implementation, training, and maintenance costs

A tool with a higher upfront cost may still deliver strong long-term value if it improves efficiency and reduces risk. Request demos and pricing proposals based on your actual contract volume and use cases.

Frequently Asked Questions About AI Contract Review

Can AI completely replace human lawyers in contract review?

No. AI is designed to support legal professionals, not replace them. It is useful for automation, pattern recognition, and issue-spotting, but human judgment is still needed for legal interpretation and final decisions.

How accurate are AI contract review tools?

Accuracy depends on the platform, training data, and complexity of the contracts. Well-configured tools can be highly effective for specific tasks, but human review is still important.

Is AI contract review secure for sensitive legal documents?

Reputable vendors typically use security controls such as encryption, access restrictions, and compliance-oriented safeguards. Always review a vendor’s security and data-handling policies before implementation.

How long does it take to implement an AI contract review tool?

Implementation can take anywhere from a few weeks to several months, depending on the tool, integrations, and level of customization required.

Can AI tools handle contracts in multiple languages?

Some tools support multiple languages, but performance varies. If multilingual review matters to your team, confirm language support directly with the vendor.

What kind of training does my team need?

Most tools include onboarding, documentation, and vendor support. Simpler platforms may require minimal training, while more advanced systems usually need more structured setup and user guidance.

Conclusion

AI has changed contract review by making it faster, more consistent, and more scalable. The best AI tools for contract review can help legal teams and businesses reduce manual work, identify risk more efficiently, and manage contracts with greater confidence.

The right choice depends on your review volume, use case, workflow, and budget. Whether you need support for due diligence, negotiation, standard commercial agreements, or full contract lifecycle management, there is likely an AI tool that fits your needs.

Choosing carefully can help your team work faster, improve consistency, and create a stronger contract review process overall.