How to Use AI for Contract Review: Streamline Your Legal Workflow
In today’s fast-moving business environment, legal teams are under constant pressure to review contracts faster without sacrificing accuracy. Contract review is essential, but it is also repetitive, time-consuming, and prone to human error when handled manually.
This is where AI can help. AI-powered contract review tools can identify key clauses, flag unusual language, extract important data, and surface potential risks in less time than traditional manual review. For legal professionals and in-house teams looking to speed up workflows, reduce review fatigue, and focus more on strategic legal work, learning how to use AI for contract review is increasingly important.
Why AI Matters for Contract Review
Businesses manage a growing number of contracts across vendors, customers, employees, and partners. Each agreement needs careful review for terms, obligations, deadlines, and risk.
Manual review creates several challenges:
- Time consumption: Reviewing even one complex contract can take hours or days.
- Human error: Fatigue and oversight can lead to missed clauses or hidden risks.
- High costs: Manual review increases labor costs and can slow down deal cycles.
- Inconsistency: Different reviewers may assess the same clause differently.
- Scalability issues: Contract volume often grows faster than legal teams do.
AI-based contract review helps address these problems by automating repetitive tasks and highlighting issues that need human attention. Used well, it can help legal teams:
- Accelerate deal cycles
- Reduce risk
- Improve compliance
- Increase productivity
- Lower review costs
- Gain better visibility into contract data and trends
Top AI Tools for Contract Review
The AI contract review market includes both specialized review tools and broader contract lifecycle management platforms. The right option depends on your workflow, contract volume, and use case.
1. Kira Systems
Kira Systems is a legal AI platform designed to identify, extract, and analyze information from contracts and other legal documents.
What it does:
- Detects and classifies legal clauses and concepts
- Extracts data points such as obligations, risks, and key dates
- Supports custom models for specific review needs
Why it is useful:
Kira is especially effective for processing large volumes of documents. It is commonly used in due diligence and complex transactions where teams need to review many contracts quickly and consistently.
Best fit:
- Law firms
- Corporate legal teams
- High-volume due diligence
- M&A transactions
- Real estate portfolios
- Regulatory compliance reviews
Pros:
- Strong clause identification
- Extensive clause library
- Custom model building
- Robust reporting
- Security and privacy features
Cons:
- Steeper learning curve for setup
- Can be expensive for smaller firms
2. ContractPodAi
ContractPodAi is a contract lifecycle management platform with AI-powered review features.
What it does:
- Analyzes contracts for key terms, risks, and compliance issues
- Automates clause extraction and redlining
- Supports drafting, e-signature, and repository management
Why it is useful:
It provides a broader contract management workflow, not just review. That makes it useful for teams that want to manage the full contract lifecycle in one system.
Best fit:
- Organizations looking for a full CLM solution
- Teams that want review, approval, and tracking in one platform
- Legal departments seeking workflow automation
Pros:
- Integrated CLM platform
- User-friendly interface
- Strong risk and compliance analysis
- Good workflow automation
- Centralized contract repository
Cons:
- May be more than needed for teams focused only on review
- Implementation can require significant setup
3. DocuSign CLM
DocuSign CLM extends DocuSign’s e-signature ecosystem with contract management and AI-assisted review capabilities.
What it does:
- Extracts key data from contracts
- Flags deviations from standard terms
- Supports workflow automation for review and approval
Why it is useful:
For organizations already using DocuSign, this is a natural way to add contract review and management functionality without introducing a separate system.
Best fit:
- Businesses already using DocuSign
- Sales teams needing quick contract turnaround
- Legal teams looking for better control and visibility
Pros:
- Seamless DocuSign integration
- Strong workflow automation
- Good for document generation and management
- Scalable platform
Cons:
- AI review may be more focused on extraction and flagging than deep clause analysis
- Best value often depends on existing DocuSign usage
4. eBrevia
eBrevia is a specialized AI tool focused on extracting data from legal and business documents.
What it does:
- Identifies and extracts information such as dates, names, obligations, and financial figures
- Analyzes documents for key provisions and risks
- Supports custom data fields
Why it is useful:
eBrevia is designed for fast, accurate extraction of structured data from contracts. It is especially helpful for recurring review tasks that depend on consistent data capture.
Best fit:
- Legal teams
- Financial institutions
- Real estate firms
- Lease abstraction
- Portfolio reviews
- Financial due diligence
Pros:
- High accuracy in data extraction
- Fast processing
- Custom field extraction
- Handles diverse document types
- Strong for repetitive extraction work
Cons:
- Not a full CLM platform
- May need integration with other tools for complete workflow management
5. Larkspur
Larkspur focuses on contract workflow management and visibility within a CLM environment.
What it does:
- Supports contract workflows and approvals
- Uses AI and automation to flag key information
- Helps teams apply playbooks and standard processes
Why it is useful:
Larkspur is designed to make contract handling more structured and predictable. It helps teams stay aligned with internal processes while reducing bottlenecks.
Best fit:
- Companies building standardized contract workflows
- Teams that need stronger process control and visibility
- Organizations using contract playbooks
Pros:
- Strong workflow automation
- Helps standardize playbooks
- Improves contract visibility
- Integrates with other business systems
Cons:
- AI is more workflow-focused than deeply analytical
- Not ideal as a standalone tool for complex clause review
6. Leverton
Leverton, now part of MRI Software, specializes in AI-powered extraction for real estate leases and related documents.
What it does:
- Reads and extracts key lease data
- Converts complex lease language into structured information
- Supports portfolio management and analysis
Why it is useful:
Leverton is highly effective for organizations that manage large real estate portfolios and need accurate lease abstraction at scale.
Best fit:
- Real estate investment firms
- Property managers
- Corporate real estate teams
- Lease abstraction
- Portfolio analysis
Pros:
- Highly specialized for lease abstraction
- Significant time savings
- Produces structured data for reporting
- Integrates with real estate management software
Cons:
- Niche focus on real estate leases
- Not a general-purpose contract review tool
How to Choose the Right AI Contract Review Tool
The best tool depends on your contract types, workflow, and budget. Before choosing, consider the following:
- Volume and complexity of contracts: High-volume lease review may call for a specialized tool, while diverse M&A diligence may require a broader legal AI platform.
- Primary use case: Decide whether your priority is risk detection, data extraction, compliance checks, or end-to-end contract management.
- Integration needs: Make sure the tool works with your CLM, CRM, ERP, or other legal tech systems.
- Customization: If you need to track specific clauses or non-standard fields, look for flexible model-building or extraction options.
- User experience: Adoption is easier when the interface is intuitive and the workflow is straightforward.
- Scalability and support: Consider whether the platform can grow with your team and whether vendor support is strong.
- Budget and ROI: Compare pricing against the time savings, risk reduction, and workflow improvements the tool can deliver.
Pricing and Value Considerations
AI contract review pricing varies widely. Some vendors charge based on user count, document volume, or feature access. Others offer enterprise pricing based on implementation scope and support requirements.
When evaluating cost, look beyond the subscription fee and consider overall value:
- Cost savings from reduced manual review
- Risk mitigation from catching problematic clauses earlier
- Efficiency gains from faster turnaround times
- Scalability without adding proportional headcount
Many vendors offer demos or free trials, which can help you assess whether the tool fits your team’s needs before making a commitment.
Frequently Asked Questions About AI Contract Review
Can AI replace lawyers for contract review?
No. AI is best used to support legal professionals, not replace them. It can handle repetitive tasks, identify patterns, and extract data, but legal judgment, negotiation, and final review still require human expertise.
How accurate are AI contract review tools?
Accuracy has improved significantly, especially for tasks like clause identification and data extraction. Results depend on the quality of the model, the document format, and the complexity of the contract. Important contracts should always be reviewed by a human.
What types of contracts can AI review?
AI tools can review many contract types, including NDAs, service agreements, lease agreements, employment contracts, loan agreements, and purchase orders. Some tools are broad-purpose, while others are tailored to specific document types or industries.
How long does implementation take?
Implementation timelines vary. Simple tools may be ready in days or weeks, while full CLM platforms can take several months to configure, integrate, and train properly.
Is contract data secure in AI tools?
Reputable providers typically use encryption, access controls, and compliance-focused security practices. Before adopting any tool, review its security policies, certifications, and data handling terms.
Conclusion
AI has become a practical tool for contract review, not a future concept. It can help legal teams work faster, reduce manual effort, improve consistency, and identify risks earlier in the review process.
The key is choosing the right tool for your workflow. Some platforms are better for high-volume extraction, others for full contract lifecycle management, and others for specialized use cases like lease abstraction. By aligning the tool with your needs, budget, and existing systems, you can use AI to make contract review more efficient and more scalable without losing the judgment that only legal professionals can provide.