How to Use AI for Contract Review: A Practical Guide for Legal Teams
Contract review is one of the most time-consuming parts of legal work. Whether you are handling NDAs, vendor agreements, lease portfolios, or M&A diligence, the process often involves reading dense language, checking clause consistency, and spotting risk across large document sets. AI can make that work faster and more manageable.
This guide explains how to use AI for contract review, what it can do well, which tools are commonly used, and how to choose the right option for your workflow.
Why AI Matters in Contract Review
Manual contract review takes time and can be prone to inconsistency, especially when documents are repetitive or high in volume. AI helps legal teams and business users handle more contracts without losing visibility into key terms.
AI-powered contract review can help you:
- Increase efficiency by automating repetitive tasks such as clause detection, data extraction, and template comparison
- Improve consistency by flagging language that differs from approved standards
- Reduce costs by freeing attorneys and legal staff to focus on higher-value work
- Support risk management by identifying unusual terms, missing provisions, and potential compliance issues
- Surface portfolio-level insights through analytics and reporting
For legal teams, this means less time spent on routine review and more time spent on negotiation, strategy, and client advisory work. For businesses, it can mean faster contract turnaround and fewer missed issues.
How AI for Contract Review Works
Most AI contract review platforms use natural language processing and machine learning to read legal documents, identify clauses, extract data points, and compare language against a playbook or prior agreements.
In practice, AI can help with tasks such as:
- Identifying standard and non-standard clauses
- Extracting names, dates, renewal terms, payment terms, and obligations
- Comparing contracts against preferred fallback language
- Highlighting missing or risky provisions
- Organizing contracts into searchable repositories
- Summarizing key terms for faster review
AI does not replace legal judgment. It is best used as a review layer that helps attorneys and contract teams work faster and more consistently.
Best AI Tools for Contract Review
The AI contract review market includes both dedicated contract intelligence platforms and broader document management tools with AI features. Here are several common options.
1. Kira Systems
Kira Systems is a contract analysis platform used by legal teams for document review, data extraction, and clause identification. It is often used in M&A due diligence, real estate, and large-scale contract analysis.
Why it stands out:
Kira is built for high-volume, complex review. It can extract many types of contract data and supports custom models for specific review needs.
Best for:
M&A due diligence, contract portfolio analysis, regulatory review
Pros:
- Strong accuracy and reliability
- Extensive clause library
- Customization options
- Integration capabilities
Cons:
- Can take time to learn
- Often priced for enterprise use
2. Eversheds Sutherland’s Contract Analytics
This platform, formerly known as Epiq Contract Analytics, offers AI-driven contract review and management features built with legal workflows in mind.
Why it stands out:
It focuses on practical legal use cases, including key term extraction, risk identification, and centralized contract information.
Best for:
Law firms, corporate legal departments, risk review, contract management
Pros:
- Designed with legal users in mind
- Broad contract review functionality
- Strong governance and security features
Cons:
- May be better suited to enterprise environments
- May be less flexible for niche use cases
3. Leguminous
Leguminous offers AI-powered contract review with a focus on extracting predefined data points and identifying specific clauses.
Why it stands out:
It is designed to help teams process contracts quickly while tailoring extraction fields to their needs.
Best for:
High-volume review, lease abstraction, clause identification, compliance checks
Pros:
- User-friendly
- Customizable extraction fields
- Useful for standardizing data across contract types
Cons:
- May offer less depth for complex semantic analysis
- Newer than some established competitors
4. Luminance
Luminance uses AI to read and analyze legal documents for contract review, due diligence, lease abstraction, and related tasks.
Why it stands out:
It is known for handling large document sets efficiently and comparing contracts against standards or prior agreements.
Best for:
M&A due diligence, real estate portfolios, discovery, general contract analysis
Pros:
- Fast processing of large volumes
- Strong contextual analysis
- Broad applicability across legal work
Cons:
- Can be expensive
- May require training to get the most value
5. DocuSign Analyzer
DocuSign Analyzer is part of the broader DocuSign ecosystem and uses AI to review contracts before signature.
Why it stands out:
It fits naturally into existing DocuSign workflows and helps users spot key clauses and potential issues before a document is executed.
Best for:
Pre-signature review, incoming agreements, standard contract checks
Pros:
- Convenient for DocuSign users
- Easy to work into existing workflows
- Useful for quick risk checks
Cons:
- Less robust than dedicated contract intelligence platforms
- More focused on pre-signature review than deep analysis
6. ContractPodAi
ContractPodAi is a contract lifecycle management platform with AI features for review, analysis, automation, and compliance tracking.
Why it stands out:
It covers the full contract lifecycle, from creation through execution and ongoing management.
Best for:
Corporate legal departments, compliance, end-to-end contract management
Pros:
- All-in-one CLM platform
- Strong automation capabilities
- Reporting and analytics features
Cons:
- Higher investment
- Implementation may require planning and resources
7. NetDocuments
NetDocuments is primarily a cloud document management system, but it also includes AI-powered search and analysis features that can support contract review.
Why it stands out:
It is useful for organizations already storing contracts in NetDocuments and looking for faster search and retrieval without adding another standalone tool.
Best for:
Existing NetDocuments users, contract search, basic clause discovery
Pros:
- Works within an established document management system
- Strong search capabilities
- Helpful for quick access to contract data
Cons:
- Less specialized than dedicated contract review platforms
- Better for search and pattern recognition than deep analysis
How to Choose the Right AI Tool
The right tool depends on your contract volume, workflow, and review goals. Start by identifying the problem you need to solve.
Consider these factors:
- Primary use case: Are you doing due diligence, reviewing vendor contracts, managing a portfolio, or checking agreements before signature?
- Contract volume and complexity: High-volume, highly customized contracts may require more advanced functionality than standard agreements.
- Integration needs: Check whether the tool works with your CLM, document management system, or e-signature platform.
- Customization: Some tools allow you to train the system on your playbook, clause library, or preferred fallback language.
- Reporting and analytics: If you need portfolio-level visibility, look for tools that provide dashboards and reporting.
- Budget: Include implementation, training, support, and ongoing subscription costs in your evaluation.
A practical approach is to narrow your list to two or three tools, request demos, and test them on a sample set of contracts.
Pricing and Value
AI contract review tools can range from relatively affordable solutions to enterprise platforms with substantial annual costs. Pricing often depends on:
- Number of users
- Number of documents or pages processed
- Available features
- Level of customization
- CLM functionality and integrations
When evaluating cost, look beyond the subscription price. A tool may be worth more if it reduces review time, improves consistency, and lowers the risk of missed issues. For many teams, the real value comes from saved attorney hours and faster turnaround, not just automation.
Frequently Asked Questions
Can AI replace lawyers in contract review?
No. AI can automate repetitive parts of the process, but legal judgment, negotiation strategy, and interpretation of unusual terms still require human review.
How accurate are AI contract review tools?
Accuracy varies by tool, contract type, and configuration. Leading platforms can be very effective for structured tasks like clause extraction and comparison, but important findings should still be reviewed by a lawyer or contract professional.
What types of contracts can AI review?
AI tools can review many contract types, including NDAs, service agreements, employment contracts, leases, sales contracts, and licensing agreements. Performance depends on how well the tool handles that specific contract type.
How long does implementation take?
Simple tools may be implemented in days or weeks. More complex enterprise deployments can take longer, especially if they require custom training, workflow setup, or system integration.
Is contract data secure with AI tools?
Reputable vendors typically use encryption, access controls, and security protocols designed for legal and business data. Before adopting a tool, review its security practices and confirm that they meet your organization’s compliance requirements.
Conclusion
AI is changing how legal teams and businesses approach contract review. Used well, it can speed up document analysis, improve consistency, and help teams catch issues earlier in the process.
The best way to use AI for contract review is to match the tool to your workflow. Define your use case, compare platforms based on fit and integration, and test them on real documents before rolling them out broadly. With the right setup, AI can become a practical part of a smarter, more efficient contract review process.