How to Use AI for Contract Review: Streamlining Legal Workflows
In a fast-moving business environment, contract review can become a major bottleneck. Legal teams, in-house counsel, and business operators often have to work through large volumes of agreements while balancing speed, accuracy, and risk. AI can help by automating repetitive review tasks, surfacing key terms, and making it easier to manage contracts at scale.
If you are researching how to use AI for contract review, the best approach is to treat AI as a review accelerator, not a replacement for legal judgment. Used well, it can save time, improve consistency, and help teams focus on higher-value legal work.
Why AI-Powered Contract Review Matters
Manual contract review is still common, but it creates predictable challenges:
- Time pressure: Reading and comparing lengthy agreements takes hours and can slow down deals, onboarding, and approvals.
- Higher costs: Manual review requires significant legal time, whether handled internally or by outside counsel.
- Human error: Fatigue and inconsistent review standards can lead to missed clauses or overlooked risks.
- Scalability problems: As contract volume increases, manual processes become harder to manage.
- Inconsistent results: Different reviewers may interpret the same clause differently, creating uneven risk assessments.
AI-powered contract review helps address these issues by identifying clauses, extracting key data, flagging unusual terms, and comparing language against set standards. That allows legal teams to spend less time on first-pass review and more time on negotiation, analysis, and decision-making.
How to Use AI for Contract Review in Practice
The most effective way to use AI for contract review is to apply it to specific steps in the review process. Common use cases include:
- First-pass review: Scan contracts to identify relevant clauses, dates, parties, and obligations.
- Clause extraction: Pull out terms such as termination, indemnification, governing law, liability, and renewal provisions.
- Risk spotting: Flag language that deviates from approved positions or internal playbooks.
- Contract comparison: Compare an incoming agreement against a template or standard form.
- Portfolio analysis: Review large sets of legacy contracts to identify obligations, gaps, or unusual terms.
- Compliance support: Check for missing provisions or language that may conflict with internal policy.
AI works best when the contract type and review criteria are clearly defined. The more specific your workflow, the easier it is to get useful results.
The Best AI Tools for Contract Review
The AI contract review market includes both specialized extraction tools and broader contract lifecycle management platforms. The right choice depends on your review volume, document types, and workflow needs.
1. Kira Systems (now part of Litera)
What it does:
Kira is an AI-powered contract analysis platform focused on extracting clauses and data points from agreements. It is designed to identify specific provisions across large sets of documents and improve over time based on user input.
Why it is useful:
Kira is especially strong for due diligence and other projects where teams need to find and extract defined terms quickly. It is commonly used to identify clauses such as termination, change of control, indemnification, and governing law.
Best fit:
Law firms and corporate legal teams handling high-volume due diligence, lease abstraction, and portfolio review.
Pros:
- Strong clause identification
- Highly customizable data extraction
- Well suited to complex review projects
- Good integration options
Cons:
- May require setup and training
- Can be expensive
- More focused on extraction than drafting or negotiation support
2. Eversheds Sutherland Legal Operations AI
What it does:
Eversheds Sutherland has developed AI capabilities used in eDiscovery and contract review, often as part of broader legal services. These tools support analysis of large document sets for relevance, privilege, and contractual terms.
Why it is useful:
This option combines AI capabilities with legal oversight, which can be helpful when defensibility and professional review matter. It can support litigation, compliance, and transaction-related review.
Best fit:
Organizations that prefer a managed-service model or want AI supported by legal practitioners.
Pros:
- AI paired with legal expertise
- Useful for complex review workflows
- Can support broader legal strategy
Cons:
- May be available mainly through the firm’s services
- Not always a standalone SaaS product
- Pricing may be tied to legal engagements
3. ContractPodAi
What it does:
ContractPodAi offers an AI-powered contract lifecycle management platform with contract review features. It uses AI and NLP to extract data, identify risks, and compare contracts against playbooks and standard terms.
Why it is useful:
It is built for more than review alone. Teams can use it across the contract lifecycle, from request and drafting through execution, management, and renewal.
Best fit:
Enterprises and in-house legal departments looking for an all-in-one CLM platform with review functionality.
Pros:
- Integrated CLM platform
- Strong support for compliance and standardization
- Useful for end-to-end contract management
Cons:
- Review is part of a larger platform
- May be more than needed if you only want review tools
- AI depth may be less specialized than extraction-focused tools
4. Onit
What it does:
Onit provides legal operations tools that include AI-driven contract review and CLM capabilities. Its platform can help analyze key clauses, identify risks, and automate workflows around contract handling.
Why it is useful:
Onit is designed to speed up review while improving consistency across routine agreements. It is especially relevant for teams managing standard documents and internal approval workflows.
Best fit:
Organizations that want a flexible legal technology platform for high-volume contract work.
Pros:
- Flexible platform
- Strong workflow automation
- Useful for routine contract review and management
Cons:
- AI may be more modular than specialized
- Very complex reviews may require a more focused extraction tool
5. Evisort
What it does:
Evisort is an AI-powered platform for organizing and analyzing contracts. It automatically tags agreements, extracts data, and creates a searchable contract repository.
Why it is useful:
Evisort is strong at understanding unstructured contract data and helping teams make sense of large legacy contract sets. It can surface obligations, risks, and key provisions without relying heavily on predefined templates.
Best fit:
Legal, finance, and operations teams that need visibility across a broad contract portfolio.
Pros:
- Strong at handling varied contract types
- Good search and analytics features
- Useful for repository building and portfolio review
Cons:
- Less focused on drafting and negotiation
- Better suited to analysis than full contract workflow management
6. LinkSquares
What it does:
LinkSquares uses AI to analyze contracts, extract key data, identify risks, and provide insights on obligations and clause trends.
Why it is useful:
It is designed to help legal teams review contracts quickly and manage risk more proactively. It can also help track important dates and obligations across a contract portfolio.
Best fit:
In-house legal and legal operations teams that want faster contract analysis and portfolio visibility.
Pros:
- Fast AI analysis
- Strong risk and obligation tracking
- User-friendly interface
Cons:
- More focused on analysis than advanced CLM workflows
- May not cover every end-to-end contract management need
7. DocuSign CLM
What it does:
DocuSign CLM is a contract lifecycle management solution that includes AI for contract review and analysis. It can extract key information, flag risks, and support compliance before contracts move to signature.
Why it is useful:
For teams already using DocuSign, it offers a more seamless path from review to execution. It can help reduce friction in the agreement process and improve consistency.
Best fit:
Organizations that already use or plan to use DocuSign for e-signature and want connected CLM functionality.
Pros:
- Integrates well with DocuSign e-signature
- Strong end-to-end agreement workflow support
- Helpful for compliance-focused processes
Cons:
- Review features are part of a broader CLM platform
- AI depth may vary by use case
How to Choose the Right AI Contract Review Tool
The best tool depends on your contract volume, review goals, and current systems. Before buying, evaluate these factors:
Primary use case
Are you focused on due diligence, lease abstraction, compliance checks, portfolio analysis, or routine agreement review? Some tools are built for precise clause extraction, while others are better for broader contract management.
Contract types and volume
If you handle a wide mix of complex agreements, you will need stronger NLP and customization. If your contracts are more standardized, a playbook-based system may be enough.
Integration needs
Check whether the tool connects with your existing CLM, CRM, ERP, document management, or e-signature systems. Integration can reduce duplicate work and improve adoption.
Ease of use
Some tools require substantial setup and training. Others are more intuitive out of the box. Match the platform to your team’s technical comfort level.
Customization and scalability
Look for tools that can be trained on your preferred terms, clause library, and risk thresholds. The platform should also scale as your contract volume grows.
Reporting and analytics
If your team needs visibility into obligations, compliance, or risk trends, choose a tool with strong reporting and search capabilities.
Pricing and Value Considerations
AI contract review tools use different pricing models, including per-user, per-contract, and tiered subscription structures.
Common pricing approaches include:
- Per-user pricing: Predictable, but may become expensive for larger teams
- Per-contract pricing: Useful for fluctuating volume, but harder to forecast if usage is high
- Tiered subscriptions: Often bundled with CLM features and scaled by volume or functionality
- Enterprise pricing: Custom pricing for larger organizations with more complex requirements
When assessing value, do not focus only on subscription cost. Consider the operational impact:
- Time savings from faster first-pass review
- Lower external counsel spend
- Faster deal cycles
- Better consistency across reviews
- Reduced risk from missed clauses or non-compliant terms
Frequently Asked Questions
Can AI replace human lawyers for contract review?
No. AI is best used to support legal work, not replace it. It can automate repetitive tasks and flag risks, but lawyers are still needed for judgment, negotiation, and legal advice.
How accurate is AI for contract review?
Accuracy depends on the tool, the contract type, and how well the system has been configured. Reputable tools can be highly effective for identifying predefined clauses and data points, but human review is still important for nuanced or unusual terms.
What kind of data can AI extract from contracts?
AI can extract items such as party names, effective dates, termination dates, renewal terms, governing law, indemnification, liability limits, confidentiality provisions, payment terms, and other key clauses.
Is AI contract review suitable for all contract types?
It works best for standardized or high-volume agreements such as NDAs, MSAs, and leases. It can also support more complex contracts, but those often require additional review and validation by legal professionals.
What are the main benefits of using AI for contract review?
The main benefits are faster review, lower costs, more consistent analysis, better risk visibility, improved compliance, and easier scaling.
How do I get started with AI for contract review?
Start by identifying the most time-consuming part of your review process. Then shortlist tools that match that workflow, request demos, and pilot one specific use case such as NDA review or lease abstraction.
Conclusion
AI is changing how legal teams approach contract review. By automating repetitive tasks, extracting key terms, and highlighting risks, these tools can improve speed, consistency, and visibility across the contract lifecycle.
If you are evaluating how to use AI for contract review, focus on your highest-volume or highest-friction workflows first. The right tool should fit your contract types, integrate with your existing systems, and support your team without replacing legal judgment. Used strategically, AI can make contract review faster, more scalable, and more practical for modern legal operations.