The Best AI Tools for Due Diligence: Streamlining Legal and Financial Reviews
Due diligence is one of the most important parts of a deal, investment, or internal risk review. Whether you are reviewing contracts, financial records, compliance materials, or large volumes of emails and documents, the process needs to be fast, thorough, and accurate.
That is where AI tools can make a real difference. Instead of relying entirely on manual review, legal teams, M&A professionals, compliance officers, and investors can use AI to organize data, surface risks, and speed up document analysis. The result is a more efficient workflow with less chance of missing something important.
This guide reviews the best AI tools for due diligence, explains what each one is best for, and highlights the key factors to consider before choosing a platform.
Why AI Matters in Due Diligence
Modern due diligence often involves reviewing huge amounts of information across many formats: contracts, financial statements, regulatory filings, internal communications, policies, and more. Manually sorting through all of that takes time and increases the risk of error.
AI helps by bringing speed, consistency, and pattern recognition to the review process. It can:
- Accelerate document review across large data sets
- Improve consistency in how documents are analyzed
- Flag unusual clauses, missing terms, and potential red flags
- Automate repetitive tasks like clause extraction and document grouping
- Support compliance checks and risk assessments
- Reduce the time and cost associated with manual review
AI does not replace legal or financial judgment. It helps teams work faster and focus their attention where it matters most.
The Best AI Tools for Due Diligence
The right tool depends on the type of due diligence you are doing. Some platforms are built for broad document review, while others are stronger in contract analysis, compliance, financial risk, or intellectual property.
1. RelativityOne
RelativityOne is a legal review and eDiscovery platform with AI features that are useful in due diligence, especially when working with large volumes of electronically stored information.
What it does:
RelativityOne uses AI for technology-assisted review, clustering, and conceptual search. These tools help teams prioritize relevant documents, group similar files, and search based on meaning rather than exact keywords.
Why it is useful:
It is especially helpful when due diligence involves emails, internal documents, and other unstructured data sources. Legal teams can quickly surface documents related to litigation, intellectual property, contracts, or financial matters.
Best fit:
Law firms and in-house teams handling large-scale M&A due diligence, investigations, or document-heavy reviews.
Pros:
- Strong for large document sets
- Mature platform with robust security features
- Useful AI-driven review workflow
- Scales well for complex matters
Cons:
- Steeper learning curve
- Often a larger investment
- More focused on eDiscovery than specialized due diligence analytics
2. Kira Systems
Kira Systems, now part of Litera, is a well-known contract analysis platform built for extracting and reviewing key terms from legal documents.
What it does:
Kira uses machine learning to identify and extract clauses, provisions, and data points from contracts. It can be configured to look for items such as termination rights, change of control language, indemnities, financial covenants, and other deal-relevant terms.
Why it is useful:
For M&A due diligence, Kira can review large contract sets quickly and identify obligations, risks, and unusual terms. This saves time on manual extraction and helps teams focus on analysis instead of document sorting.
Best fit:
M&A transactions, real estate diligence, loan portfolio reviews, and other contract-heavy reviews.
Pros:
- Strong contract extraction capabilities
- Structured output for analysis
- Good for consistent review of standard provisions
- User-friendly interface
Cons:
- More specialized for contracts than broader due diligence
- May require training for niche clause sets
- Pricing can be high for smaller teams
3. Luminance
Luminance is an AI legal analytics platform designed to help teams review and understand large document collections quickly.
What it does:
Luminance reads legal documents, highlights clauses, flags deviations from standard language, and surfaces potential risk areas. It is commonly used for contract review, M&A diligence, and litigation support.
Why it is useful:
It can quickly scan acquisition documents, contracts, and related materials to identify unusual terms, key covenants, and potential issues. It is useful for gaining an early overview of a document set before deeper review begins.
Best fit:
Corporate legal departments and law firms handling M&A, capital markets, or broad contract review.
Pros:
- Fast initial review
- Good at identifying anomalies
- Intuitive interface
- Helpful for collaborative legal work
Cons:
- Less specialized than some contract-only tools
- Enterprise-oriented pricing
- May need careful setup for best results
4. AuditBoard
AuditBoard is a risk, compliance, and audit management platform with AI capabilities that support financial due diligence and control reviews.
What it does:
Its AI features help with risk assessment, control testing, compliance monitoring, and evidence collection. It can assist in reviewing financial data, identifying anomalies, and supporting structured review of internal controls.
Why it is useful:
When due diligence includes financial health, compliance posture, or internal control assessment, AuditBoard can help organize the review and flag areas that may need closer attention.
Best fit:
Internal audit teams, compliance teams, and organizations conducting financial due diligence in regulated environments.
Pros:
- Strong risk and compliance focus
- Useful for financial and operational review
- Good workflow and reporting features
- Supports collaboration across teams
Cons:
- Not built primarily for contract review
- AI is part of a broader GRC platform
- Can be a significant investment
5. Everlaw
Everlaw is another eDiscovery platform with AI-powered features that support review of large and complex document sets.
What it does:
Everlaw includes predictive coding, clustering, and conceptual search. These capabilities help teams identify relevant documents, organize them by theme, and understand relationships across a dataset.
Why it is useful:
For due diligence involving emails, memos, correspondence, and other unstructured data, Everlaw can reduce the time spent on manual review and make it easier to identify key issues.
Best fit:
Law firms and legal departments dealing with document-intensive reviews, investigations, or transaction support work.
Pros:
- User-friendly interface
- Strong review and collaboration tools
- Good for large datasets
- Broad document analysis capabilities
Cons:
- More eDiscovery-focused than due diligence-specific
- Less specialized for contract extraction
- Best suited to document-centric matters
6. Brainbase
Brainbase is an AI platform focused on intellectual property analysis and management, which can be important in due diligence for technology and innovation-driven companies.
What it does:
It helps analyze patents, trademarks, and other IP assets. It can identify relevant portfolios, highlight possible infringement risks, and support review of competitive IP positions.
Why it is useful:
When IP is a core business asset, it is important to understand the strength, scope, and possible liabilities associated with the target’s portfolio. Brainbase can help teams assess those issues more efficiently.
Best fit:
Technology, pharmaceutical, and creative industry due diligence where intellectual property is a major factor.
Pros:
- Specialized for IP review
- Helpful for patent and trademark analysis
- Can surface infringement and licensing issues
- Useful for competitive IP insight
Cons:
- Very niche compared with general-purpose tools
- Requires IP knowledge to use effectively
- Not a broad due diligence platform
How to Choose the Right AI Tool for Due Diligence
The best tool depends on your workflow, data type, and review priorities. Before choosing a platform, consider the following:
Scope of review
Are you focused on contracts, financials, IP, compliance, or a broad document set? Some tools are highly specialized, while others are better for general review.
Data volume and format
Look at the size of the data set and the types of files involved. Make sure the platform can handle PDFs, Word files, emails, scanned documents, spreadsheets, and other formats you regularly review.
Risk priorities
Different tools are better at different tasks. Some excel at clause extraction, others at anomaly detection, compliance review, or IP analysis.
Workflow integration
Check whether the tool fits into your current legal tech stack, document management system, or internal review process.
Ease of use
A powerful platform is only valuable if your team can use it effectively. Consider setup time, training needs, and day-to-day usability.
Security and confidentiality
Due diligence often involves sensitive information. Make sure the vendor offers strong data security, access controls, and appropriate privacy protections.
Budget and return on investment
Look beyond the purchase price. Consider time saved, reduced review costs, lower risk exposure, and faster deal timelines.
Quick Comparison
- For broad eDiscovery and ESI review: RelativityOne, Everlaw
- For contract analysis and extraction: Kira Systems, Luminance
- For financial and compliance review: AuditBoard
- For intellectual property due diligence: Brainbase
Pricing and Value Considerations
Pricing varies widely across AI due diligence tools. Some use subscription plans, while others price by project, data volume, or processing usage. Enterprise platforms often require custom quotes.
When evaluating cost, focus on total value rather than price alone. Consider:
- Time saved on manual review
- Lower risk of missing important issues
- Faster turnaround on deals and investigations
- Better use of lawyer and analyst time
In many cases, a more expensive platform can deliver better value if it saves significant time and helps reduce risk.
Frequently Asked Questions
Can AI replace human reviewers in due diligence?
No. AI is best used to support human review, not replace it. It can help identify patterns, sort documents, and flag issues, but legal and financial judgment still require people.
How accurate are AI contract analysis tools?
Accuracy depends on the tool, the quality of the data, and the complexity of the documents. Many tools perform well on common clauses, but human review is still needed for validation.
What kinds of data can these tools process?
Most can handle contracts, emails, financial documents, regulatory filings, internal policies, legal records, and IP materials. Some tools also support OCR for scanned documents.
Do I need technical expertise to use them?
Usually not. Most commercial tools are designed for legal and business users, though advanced customization may require specialist support.
How quickly can I see results?
For focused tasks like contract review, teams may see benefits quickly. For more complex workflows, adoption and full ROI may take longer.
Are there security concerns?
Yes. Because due diligence often involves sensitive information, security should be a top priority. Review encryption, access controls, retention policies, and compliance standards before adopting any platform.
Conclusion
AI is changing how due diligence is performed. The best AI tools for due diligence help legal and financial teams review documents faster, identify risks more consistently, and focus human effort where it matters most.
RelativityOne, Kira Systems, Luminance, AuditBoard, Everlaw, and Brainbase each serve different use cases. The right choice depends on whether you need broad document review, contract extraction, financial analysis, compliance support, or IP diligence.
If your organization handles high-volume, high-stakes reviews, AI can be a practical way to improve speed, reduce manual effort, and make more informed decisions.