The Best AI Tools for Due Diligence: Streamlining Your Investigation Process
Due diligence is a critical step in major business decisions, whether you are acquiring a company, entering a new market, or reviewing an investment opportunity. It involves a detailed investigation into a business, asset, or transaction to confirm material facts and identify potential risks.
Traditionally, due diligence has been slow, manual, and expensive. Teams often have to review large volumes of contracts, filings, financial records, and other documents under tight deadlines. AI is changing that. By automating document review, extracting key data, and surfacing risks faster, AI tools can make due diligence more efficient and more consistent.
This guide covers some of the best AI tools for due diligence and how they can support legal teams, investors, and corporate development professionals.
Why AI Matters in Due Diligence
Due diligence often involves reviewing huge amounts of information, including:
- Contracts
- Financial statements
- Regulatory filings
- Corporate records
- Litigation history
- News and public information
- Intellectual property documents
Manually sorting through all of this takes time and increases the risk of missing important details. AI tools are particularly effective at repetitive, document-heavy tasks. They can help teams:
- Extract key clauses and data points
- Identify unusual terms or inconsistencies
- Flag potential risks
- Summarize large document sets
- Speed up review without sacrificing consistency
For legal professionals and deal teams, the value of AI is not just speed. It is also about creating a more structured, data-driven review process.
The Best AI Tools for Due Diligence
The best tool depends on the type of due diligence you are conducting. Some platforms focus on contract analysis, while others support entity verification or external market intelligence.
1. Kira Systems (now part of Litera)
What it does:
Kira is an AI-powered contract review and analysis platform. It uses machine learning and natural language processing to identify, extract, and analyze key provisions from large sets of legal documents. Teams can customize the system to look for specific items such as termination clauses, change of control provisions, indemnities, and financial covenants.
Why it is useful:
In M&A due diligence, contract review is often one of the biggest bottlenecks. Kira helps teams review large document sets more quickly and consistently, making it easier to identify liabilities, deal risks, and key obligations.
Best fit:
M&A due diligence, commercial contract review, regulatory compliance checks, real estate transactions, and portfolio reviews.
Pros:
- Strong clause and data extraction
- Pre-built models for common legal provisions
- Customizable for specific review needs
- Integrates with other legal tech tools
- Proven in large-scale transactions
Cons:
- Requires setup and customization
- Focused mainly on document review
- Can be expensive for smaller firms
2. Luminance
What it does:
Luminance is an AI platform for legal document analysis. It reads and categorizes contracts, highlights key information, and flags clauses that deviate from expected patterns. It also supports eDiscovery and compliance workflows.
Why it is useful:
Luminance helps legal teams move faster at the start of a due diligence review by identifying unusual or risky language early. Its visual interface can also make large document sets easier to navigate.
Best fit:
Transactional law, financing reviews, compliance checks, litigation support, and document-heavy due diligence projects.
Pros:
- Intuitive interface
- Fast document processing
- Good at spotting non-standard clauses
- Useful for team collaboration
- Broad legal use cases
Cons:
- Primarily a document analysis tool
- Enterprise-oriented pricing
- May require technical support for customization
3. eBrevia (now part of Donnelley Financial Solutions)
What it does:
eBrevia automates the review of legal documents, especially contracts. It extracts information such as parties, effective dates, termination clauses, and payment terms, and it can also flag unusual provisions or obligations.
Why it is useful:
For teams reviewing many agreements, eBrevia speeds up the process of identifying key contract terms and potential risks. That makes it easier to build a clear picture of a target’s contractual obligations.
Best fit:
M&A due diligence, corporate law, banking and finance, and contract review workflows.
Pros:
- Efficient contract data extraction
- Useful for standard and non-standard clause identification
- Helps flag contractual risk
- User-friendly interface
Cons:
- Focused mainly on contract analysis
- Needs to be integrated into a broader workflow
- Features may vary following acquisition by DCFS
4. Seal Software (now part of LexisNexis)
What it does:
Seal Software provides AI-powered contract analytics. It reviews contracts to identify obligations, risks, and opportunities, and it can compare terms across large document portfolios. It is designed to surface useful insights from existing agreements.
Why it is useful:
During due diligence, understanding contractual obligations and hidden liabilities is essential. Seal helps teams review contract portfolios more efficiently and assess compliance and risk exposure.
Best fit:
Enterprise contract management, M&A due diligence, compliance reviews, and risk management.
Pros:
- Comprehensive contract analytics
- Strong on obligations and risk identification
- Useful for compliance analysis
- Integrates with LexisNexis solutions
Cons:
- Best suited to enterprise use cases
- Can be complex to implement
- Pricing is typically enterprise-level
5. Diligent Insights (formerly Diligent Entities)
What it does:
Diligent Insights supports entity management and governance review. It helps verify corporate entities, beneficial ownership, and governance structures, which is especially useful during the preparation and verification stages of due diligence.
Why it is useful:
Understanding who owns and controls a target entity is a core part of due diligence. Diligent Insights helps reduce manual verification work and supports KYC and AML checks by organizing entity data more effectively.
Best fit:
KYC and AML compliance, beneficial ownership verification, corporate governance reviews, and background checks in M&A or investment contexts.
Pros:
- Supports verified entity data
- Helps streamline KYC/AML workflows
- Useful for ownership and governance analysis
- Reduces compliance and fraud risk
Cons:
- Not designed for deep contract analysis
- Works best alongside other due diligence tools
- Depends on access to strong entity databases
6. Crayon
What it does:
Crayon is a competitive intelligence platform that uses AI to gather and analyze public information about markets, competitors, and product trends. It monitors sources such as news, industry content, and competitor websites.
Why it is useful:
Due diligence is not only about internal documents. External context matters too. Crayon helps teams assess competitive position, market dynamics, and outside risks or opportunities, especially for market entry or acquisition work.
Best fit:
Market entry analysis, competitive due diligence, investor research, and external risk assessment.
Pros:
- Strong market and competitor intelligence
- Automates public data collection and analysis
- Useful for strategic decision-making
- Real-time updates help keep insights current
Cons:
- Focuses on external information only
- Limited to public sources
- Should be combined with internal document review
How to Choose the Right AI Tool
The best AI tools for due diligence depend on your workflow and review priorities. Consider the following:
- Scope of due diligence: Are you reviewing contracts, verifying entities, analyzing markets, or checking compliance?
- Data volume: Larger document sets require stronger processing and extraction capabilities.
- User expertise: Some tools are easier to use out of the box, while others require more setup.
- Integration: Check whether the platform works with your existing legal tech stack or data systems.
- Budget: Pricing can range from enterprise contracts to more flexible options for smaller teams.
- Reporting needs: Consider whether you need dashboards, exports, summaries, or review workpapers.
- Scalability: Choose a tool that can grow with your team and transaction volume.
In many cases, a combination of tools is the best approach. For example, a contract analytics platform like Kira or Luminance can be paired with an entity verification tool like Diligent Insights and a market intelligence platform like Crayon.
Pricing and Value Considerations
AI due diligence tools are often priced for enterprise use, with costs depending on users, data volume, features, and support. Some vendors use subscription pricing, while others offer project-based or tiered models.
When comparing options, look beyond the upfront cost and consider the return on investment. AI tools can help you:
- Reduce manual review time
- Accelerate deal timelines
- Lower the risk of missed issues
- Improve consistency and accuracy
- Free up professionals for higher-value work
If you are evaluating tools, request demos and ask vendors how their platform fits your specific use case and document volume.
Frequently Asked Questions About AI in Due Diligence
Can AI replace human due diligence professionals?
No. AI is best used to support human judgment, not replace it. It can handle document review and data extraction, but professionals are still needed for analysis, interpretation, and decision-making.
How accurate are AI tools for contract review?
Many AI tools are highly effective at identifying and extracting key clauses, but accuracy depends on document quality, complexity, and model setup. Human review is still important for final validation.
What types of data can AI tools analyze?
Depending on the platform, AI tools can analyze contracts, leases, corporate filings, litigation records, financial statements, emails, news articles, regulatory filings, and public data.
How much faster are AI tools than manual review?
AI can process large document sets much faster than manual review. Tasks that might take weeks by hand can often be completed in hours or days, depending on the volume and complexity.
Are AI due diligence tools suitable for small firms?
Some tools are enterprise-focused, but the market is expanding. Smaller firms may find more flexible options or use AI-enabled service providers instead of buying software directly.
What happens if you do not use AI in due diligence?
Without AI, teams may face longer review times, higher labor costs, greater risk of human error, and a higher chance of missing important information.
Conclusion
AI is reshaping due diligence by making document-heavy reviews faster, more structured, and more consistent. The best AI tools for due diligence can help teams extract key terms, identify risks, verify entities, and understand market context with far less manual effort.
Tools like Kira, Luminance, eBrevia, Seal Software, Diligent Insights, and Crayon each serve different parts of the due diligence process. Human expertise still matters, but AI can significantly improve efficiency and confidence in high-stakes reviews.
For legal teams, investors, and corporate development professionals, the right AI stack can turn due diligence from a slow, manual process into a more strategic and scalable workflow.