The Best AI Tools for Compliance Review: Streamlining Legal and Regulatory Workflows
Compliance review is no longer a back-office task. For legal teams, compliance officers, and business leaders, it is a core part of managing risk, protecting reputation, and keeping operations aligned with legal and regulatory requirements.
As organizations deal with growing volumes of contracts, emails, chat logs, policies, and regulatory updates, manual review becomes slow, expensive, and difficult to scale. AI tools can help by analyzing large datasets, flagging risk, identifying non-compliant language, and supporting faster, more consistent review processes.
This guide covers the best AI tools for compliance review and how to choose the right one for your workflow.
Why AI Tools for Compliance Review Matter
The cost of non-compliance can be severe. Fines, investigations, operational disruption, and reputational damage can all result from missed obligations or inconsistent review. At the same time, the volume of information compliance teams must evaluate continues to grow.
AI helps solve this problem by handling repetitive, high-volume work more efficiently than manual review alone. These tools are especially useful for:
- reviewing contracts and identifying risky clauses
- searching emails, chats, and documents for potential issues
- supporting regulatory investigations and internal audits
- organizing large sets of evidence for eDiscovery
- monitoring risk and compliance workflows more consistently
Rather than replacing legal and compliance professionals, AI gives them faster access to relevant information so they can focus on judgment, strategy, and escalation.
The Best AI Tools for Compliance Review
The right tool depends on your data sources, compliance requirements, and internal workflows. Below are some of the leading options used in legal and compliance environments.
1. RelativityOne
What it does: RelativityOne is a cloud-based eDiscovery platform that uses AI and machine learning to help teams review large volumes of electronic data. Its features include Technology Assisted Review (TAR), Conceptual Search, and automated workflows for processing and organizing data.
Why it is useful: RelativityOne is a strong fit for legal teams handling litigation, regulatory investigations, or internal audits. It helps reduce the time and cost of manual document review while improving consistency and search precision. It is especially valuable when compliance issues involve large evidence sets.
Best fit: Large law firms, corporate legal departments, and organizations managing large-scale investigations or reviews.
Pros:
- Highly scalable for large data volumes
- Strong AI features for document review and search
- Broad eDiscovery functionality
- Secure cloud-based environment
Cons:
- Can be complex to implement and manage
- More suited to eDiscovery than simple compliance tasks
- May be expensive for smaller teams
2. Kira Systems, now part of Litera
What it does: Kira specializes in contract review and clause extraction. It uses AI to identify and categorize provisions such as termination, indemnity, force majeure, and other key terms across large contract sets.
Why it is useful: Kira is useful when compliance review centers on contracts. It helps teams spot non-standard language, review obligations, and assess risk more efficiently. This is especially helpful in due diligence, contract lifecycle management, and portfolio-wide review.
Best fit: Corporate legal teams, M&A groups, procurement teams, and compliance professionals reviewing large contract libraries.
Pros:
- Strong clause extraction and categorization
- Useful for due diligence and contract analysis
- Helps standardize review across documents
- Saves time on high-volume contract work
Cons:
- Best suited to contracts, not unstructured communications
- Requires setup and training for best results
- May be less cost-effective for small teams or low document volumes
3. Casetext with CARA AI
What it does: Casetext is an AI-powered legal research platform. Its CARA AI feature helps users find relevant case law, arguments, and legal authorities from a large legal database.
Why it is useful: While not a direct document review tool, Casetext is valuable for compliance work that depends on understanding how regulations and case law are interpreted. It can help legal teams research issues faster and assess legal risk more effectively.
Best fit: Law firms and in-house legal teams that need fast, targeted legal research tied to compliance questions.
Pros:
- Strong legal research capabilities
- Helps surface relevant case law and arguments
- Useful for regulatory interpretation and legal analysis
Cons:
- Not a direct internal document review platform
- More focused on research than operational compliance monitoring
- Requires legal expertise to interpret results correctly
4. Everlaw
What it does: Everlaw is an eDiscovery platform with cloud-based document review, collaboration, and AI-driven analysis tools. It includes features such as clustering, predictive coding, and advanced search to help teams review large datasets efficiently.
Why it is useful: Everlaw is helpful for compliance-related investigations and discovery matters where teams need to find key documents quickly. Its collaboration features and AI tools make it easier to manage large review projects and reduce manual effort.
Best fit: Legal departments and law firms that need a user-friendly eDiscovery platform with strong AI support.
Pros:
- User-friendly interface
- Strong document clustering and predictive coding
- Good collaboration features
- Cloud-based and scalable
Cons:
- Primarily built for eDiscovery
- May be more than needed for smaller compliance tasks
- Pricing can depend on volume and user count
5. Onna
What it does: Onna connects to workplace apps such as Slack, Microsoft 365, and Google Workspace to centralize and make organizational data searchable. It uses AI to process and analyze data across these systems.
Why it is useful: Onna is useful for organizations with distributed data across many cloud tools. It helps compliance teams search communications and documents across platforms, which is important for internal investigations, regulatory requests, and policy enforcement.
Best fit: Organizations with cloud-heavy workflows and distributed teams that need to collect and analyze data from multiple sources.
Pros:
- Connects to many data sources
- Useful for unstructured data in collaboration tools
- Supports investigations and eDiscovery collection
- Helps reduce data silos
Cons:
- More focused on aggregation and search than workflow automation
- Requires integration across multiple systems
- Results still need human review and interpretation
6. AuditBoard
What it does: AuditBoard is a cloud-based platform for audit, risk, and compliance management. It supports risk assessments, control testing, policy management, issue tracking, and reporting, with automation and AI features that reduce manual work.
Why it is useful: AuditBoard is a strong option for teams that need a broader governance, risk, and compliance platform rather than a document review tool. It helps organize compliance processes and gives teams better visibility into their overall compliance posture.
Best fit: Organizations looking for a centralized GRC platform to manage compliance programs, controls, and reporting.
Pros:
- Broad GRC functionality
- Automates repetitive compliance processes
- Improves visibility into risks and controls
- Useful for ongoing compliance management
Cons:
- Not designed for deep review of individual contracts or communications
- Focuses on program management rather than document-level analysis
- Implementation can take time
How to Choose the Right AI Tool for Compliance Review
The best AI tool depends on what you need to review and how your team works. Consider the following factors:
- Type of data: Are you reviewing contracts, emails, chat messages, policies, or large evidence sets?
- Compliance focus: Are you addressing regulatory compliance, contractual review, internal policy adherence, or a mix of all three?
- Existing systems: Will the tool integrate with your current legal, HR, CRM, or collaboration platforms?
- Team capacity: Does your team have the time and expertise to configure and manage a complex platform?
- Scale and budget: Will the tool handle your current volume and grow with your needs?
- Accuracy and configurability: Can the system be trained or adjusted for your industry, terminology, and review standards?
For many teams, the best approach is to shortlist a few tools and test them on a real workflow before committing.
Pricing and Value Considerations
AI compliance tools use different pricing models. Common structures include:
- Subscription pricing: Often used by SaaS tools like Onna, AuditBoard, and Casetext
- Usage-based pricing: Common in eDiscovery platforms such as RelativityOne and Everlaw
- Per-user licensing: Typical for many enterprise software products
When evaluating cost, do not focus only on the monthly or annual fee. Consider the full value of the tool, including:
- reduced manual review time
- fewer compliance errors
- faster investigation and reporting
- lower risk of fines and disputes
- better use of legal and compliance staff time
It is also important to account for implementation, training, support, and any integration costs.
Frequently Asked Questions About AI for Compliance Review
Can AI replace human compliance officers?
No. AI is best used to support human reviewers, not replace them. It can process data quickly and identify possible issues, but humans are still needed to interpret findings and make decisions.
How do I keep data secure when using AI tools?
Look for vendors with strong security controls, encryption, access management, and recognized certifications such as SOC 2 or ISO 27001. Review the vendor’s security documentation and data retention policies before implementation.
Do these tools require training?
Yes, though the amount varies. Some platforms are easy to use out of the box, while others require setup, onboarding, and administrator training to get the best results.
Can AI support proactive compliance?
Yes. AI can help monitor data trends, surface early warning signs, and support ongoing risk assessment so teams can address issues before they become larger problems.
Are these tools only for large enterprises?
No. While some platforms are enterprise-focused, others can work well for small and mid-sized businesses depending on the volume and complexity of compliance work.
Conclusion
The best AI tools for compliance review can help legal and compliance teams work faster, reduce manual effort, and improve consistency across review processes. Whether you need to analyze contracts, search communications, support investigations, or manage a full GRC program, there are AI tools built for the job.
The key is to match the tool to your workflow. Start with your data sources, compliance obligations, and internal resources, then choose a platform that supports your goals without adding unnecessary complexity. With the right solution, AI can become a practical part of a stronger, more efficient compliance strategy.