How to Use AI for Compliance Review: Streamlining Legal and Regulatory Work
Navigating legal and regulatory compliance is a major challenge for organizations of all sizes. Financial institutions must manage strict reporting requirements, healthcare organizations must protect sensitive patient data, and many other businesses face growing obligations across privacy, employment, finance, and industry-specific rules.
Traditionally, compliance review has been manual, time-intensive, and prone to oversight. AI is changing that by helping teams automate repetitive work, review large volumes of information faster, and surface potential risks earlier.
This guide explains how to use AI for compliance review, what kinds of tools are available, and how to choose the right solution for your organization.
Why AI for Compliance Review Matters
Regulations continue to evolve, and keeping up with them requires time, expertise, and consistent oversight. Manual review processes can slow down operations and increase the risk of missed obligations, which may lead to fines, reputational harm, or business disruption.
AI-powered compliance review can help organizations:
- Increase efficiency by automating document analysis, data extraction, and risk flagging
- Improve accuracy by reducing manual errors and missed details
- Scale more easily as data volume and compliance obligations grow
- Support proactive risk management by identifying anomalies and patterns earlier
- Lower costs over time by reducing manual effort and helping avoid penalties
Used well, AI can shift compliance from a reactive function to a more strategic part of the business.
How AI Is Used in Compliance Review
AI can support compliance teams in several practical ways:
- Contract review: Identify key clauses, missing terms, and compliance-related obligations
- Regulatory monitoring: Track changes in laws, rules, and guidance across jurisdictions
- Document analysis: Review policies, reports, emails, and records for risks or inconsistencies
- Investigations and audits: Sort large datasets and prioritize materials for human review
- Screening and monitoring: Support KYC, AML, sanctions, and adverse media checks
- Workflow automation: Route tasks, trigger alerts, and maintain consistent compliance processes
AI does not replace legal judgment, but it can make review faster, more consistent, and easier to manage at scale.
Best AI Tools for Compliance Review
The right tool depends on the type of compliance work you do. Below are several commonly used platforms and the types of problems they are suited to solve.
1. Kira Systems
Kira Systems specializes in contract analysis and due diligence. It uses machine learning to identify and extract clauses, provisions, and data points from large volumes of legal documents.
Why it is useful:
It helps legal and compliance teams quickly review contracts, regulatory agreements, and internal policies for specific obligations or risks. It can flag deviations from standard language and identify issues such as privacy terms, indemnities, or other compliance-related clauses.
Best for:
- Contract due diligence
- M&A reviews
- Third-party risk analysis
- Internal policy review
Pros:
- Strong clause identification and extraction
- Legal-friendly interface
- Customizable review workflows
Cons:
- Can be expensive
- Works best with standardized documents
2. Relativity
Relativity is best known as an eDiscovery platform, but its AI and natural language processing features also support compliance review. It can help identify relevant documents, categorize information, and surface potentially problematic content in large data sets.
Why it is useful:
It is well suited to investigations, litigation holds, and regulatory requests where teams need to search through large collections of electronic data and find evidence of compliance or non-compliance.
Best for:
- Internal investigations
- Regulatory inquiries
- Pre-litigation discovery
- Large-scale document review
Pros:
- Strong for large data volumes
- Secure and configurable
- Mature platform with broad support
Cons:
- Steeper learning curve
- Often part of a larger, more complex workflow
3. LexisNexis Risk Solutions
LexisNexis offers AI-powered tools for KYC, AML, fraud detection, sanctions screening, and adverse media monitoring.
Why it is useful:
These tools help automate customer due diligence, ongoing monitoring, and screening against regulatory lists. That makes them especially valuable for organizations that need to manage financial crime compliance efficiently.
Best for:
- Financial institutions
- Insurance companies
- Other regulated businesses with KYC and AML obligations
Pros:
- Broad data coverage
- Advanced analytics and risk scoring
- Continuous monitoring capabilities
Cons:
- Focused mainly on financial crime compliance
- Often priced for enterprise use
4. Seal Software, now part of DocuSign
Seal Software is designed for intelligent contract discovery and analysis. It can locate and extract contract data across an organization’s repositories.
Why it is useful:
It gives teams visibility into contractual obligations that may affect compliance, such as data processing agreements, change-of-control clauses, and other terms tied to regulatory requirements.
Best for:
- Data privacy compliance
- Supplier and vendor contract review
- Post-merger integration
- Contract inventory and obligation tracking
Pros:
- Strong contract discovery
- Good data extraction capabilities
- Integrates with contract management systems
Cons:
- Primarily focused on contracts
- Less suitable for general unstructured content outside legal documents
5. Automate.io, now part of Nextiva
Automate.io is not a dedicated compliance platform, but it can support compliance workflows through integrations and automation.
Why it is useful:
It can connect business systems and automate rule-based tasks, such as syncing compliance data, sending alerts, or distributing policy updates and training materials.
Best for:
- Custom workflow automation
- Cross-platform compliance coordination
- Data consistency across business systems
Pros:
- Flexible automation options
- Broad integration potential
- Useful for repetitive compliance tasks
Cons:
- Not a specialized legal analysis tool
- May require technical setup for more complex workflows
6. Workday
Workday is a cloud-based enterprise platform with AI and machine learning features across human capital and financial management functions.
Why it is useful:
It can support compliance through policy enforcement, financial controls, and monitoring for issues such as labor law requirements, segregation of duties, and fraud risk.
Best for:
- Large enterprises using Workday for HR and finance
- Organizations wanting compliance controls built into core systems
Pros:
- Compliance embedded in business workflows
- Strong reporting and audit support
- Uses existing enterprise data
Cons:
- Most relevant to HR and finance compliance
- Implementation can be complex and costly
7. AuditBoard
AuditBoard is a cloud-based platform for audit, risk, and compliance management. It uses AI to support risk assessment, control testing, issue tracking, and evidence gathering.
Why it is useful:
It centralizes audit and compliance work, making it easier for teams to collaborate and manage controls. AI features can help identify patterns in findings and prioritize higher-risk issues.
Best for:
- Internal audit teams
- Compliance departments
- Risk management functions
- SOX, HIPAA, and GDPR-related workflows
Pros:
- Broad GRC functionality
- User-friendly interface
- Strong reporting tools
Cons:
- More focused on audit and controls than deep legal document analysis
How to Choose the Right AI Tool for Compliance Review
Selecting the right platform starts with understanding your workflow and risk areas. Consider the following:
- Specific compliance needs: Identify the regulations and document types you deal with most often, such as GDPR, HIPAA, SOX, AML, contracts, emails, or financial records.
- Data volume and complexity: Larger or more unstructured data sets may require stronger NLP and search capabilities.
- Integration requirements: Check whether the tool can connect with your legal tech stack, CRM, ERP, document management system, or other internal tools.
- User expertise: Some platforms are designed for legal and compliance professionals, while others may require IT or data support.
- Budget: Compare subscription costs, usage-based pricing, implementation fees, and training expenses.
- Scalability: Choose a solution that can handle future growth in data, teams, and regulatory obligations.
- Vendor reputation and support: Review product support, onboarding options, security practices, and customer feedback.
Pricing and Value Considerations
AI compliance tools can range from modest monthly subscriptions to enterprise contracts with significant annual costs. The right choice depends on more than price alone.
Common pricing models include:
- Subscription pricing: Monthly or annual SaaS fees
- Per-user or per-document pricing: Charges based on usage
- Tiered plans: Different feature sets at different price points
- Implementation and training fees: One-time costs for setup and onboarding
When evaluating value, consider:
- Time saved on manual review
- Reduction in errors and missed issues
- Lower exposure to fines or penalties
- Faster audits and investigations
- Better use of legal and compliance staff time
A tool that saves hours of manual review across a legal or compliance team can quickly justify its cost.
Frequently Asked Questions
Can AI completely replace human compliance officers?
No. AI is best used as a support tool. It can automate repetitive tasks and surface risks, but human oversight is still necessary for judgment, context, and final decision-making.
What kind of data can AI analyze for compliance?
AI can work with structured data such as spreadsheets and databases, as well as unstructured data like emails, documents, audio files, and social media content. The exact capabilities depend on the tool.
How do I make sure the AI tool itself is compliant?
Review the vendor’s privacy and security practices carefully. Look for clear data handling policies, relevant security controls, and alignment with applicable laws such as GDPR or CCPA.
What are the biggest challenges in implementing AI for compliance review?
Common challenges include cost, setup complexity, data quality issues, employee adoption, and the need to verify output accuracy. A phased rollout and proper training can help reduce these issues.
How does AI help with changing regulations?
Some tools monitor regulatory sources, detect updates, and flag changes that may affect your organization. This can help compliance teams respond more quickly to new requirements.
Conclusion
AI is becoming an important part of modern compliance review. It helps teams process information faster, reduce manual work, and identify potential issues earlier. For organizations dealing with increasing regulatory pressure, that can translate into stronger oversight and better operational efficiency.
The best results come from matching the tool to the task. Whether you need contract analysis, regulatory monitoring, screening, or workflow automation, the right AI platform can make compliance work more manageable and more scalable. Human judgment still matters, but AI can give legal and compliance teams a more effective way to do their work.