Best AI Tools for Due Diligence in 2024
In today’s fast-moving legal and business environment, due diligence is too important to leave to manual review alone. Lawyers, investors, compliance teams, and deal professionals often need to assess large volumes of contracts, filings, emails, financial records, and public information under tight deadlines. That makes the search for the best AI tools for due diligence a practical priority, not just a tech trend.
AI tools can help teams work faster, reduce review fatigue, and surface issues that might otherwise be missed. Used well, they improve consistency and support better decision-making across M&A, financing, real estate, litigation, and vendor risk review.
Why AI Matters in Due Diligence
Traditional due diligence is resource-heavy. It often depends on teams of attorneys, analysts, and paralegals spending hours reviewing documents, comparing terms, and summarizing findings. That approach has clear limits:
- It is labor-intensive and expensive.
- It can slow down transactions and reviews.
- It increases the risk of missing important issues.
- It may not scale well when the document set is large or highly unstructured.
AI-powered due diligence tools help address these problems by using machine learning, natural language processing, and advanced search capabilities to:
- Review large sets of documents quickly
- Extract key clauses, dates, figures, and entities
- Flag unusual terms, inconsistencies, and red flags
- Search and summarize external sources such as news and regulatory materials
- Apply consistent analysis across a large volume of files
- Scale without requiring the same increase in manual effort
For legal teams and business users, that means shorter timelines, better visibility into risk, and a more efficient review process overall.
The Best AI Tools for Due Diligence
The right tool depends on the type of due diligence you do most often. Some platforms are best for contract review, while others are stronger in legal research, eDiscovery, governance, or compliance monitoring.
1. Kira Systems
Kira Systems is a well-known AI-powered contract analysis platform designed to automate review and extraction from legal documents. It can identify key clauses, pull out data points, and highlight non-standard language across large document sets.
Why it stands out for due diligence:
Kira is especially useful in M&A, financing, and real estate transactions where teams need to review large numbers of contracts quickly and consistently. It helps surface risk factors, standardize review, and reduce the chance of missing critical terms buried in dense agreements.
Best for:
Large-scale contract review, high-volume transaction diligence, and teams that need clause-level analysis across many documents.
Pros:
- Strong contract review capabilities
- Useful library of pre-built models
- User-friendly for legal teams
- Good reporting and workflow support
Cons:
- Focused mainly on contract analysis
- May need to be paired with other tools for broader diligence tasks
- Can be costly for smaller firms
2. Casetext with CoCounsel
Casetext, through its CoCounsel feature, combines legal research with AI-assisted analysis. It can summarize documents, help draft content, review legal materials, and support research that informs diligence work.
Why it stands out for due diligence:
CoCounsel is especially valuable when due diligence requires legal context, case law research, or quick synthesis of filings and other materials. It can speed up the research phase and help legal teams move from information gathering to analysis more efficiently.
Best for:
Litigation risk review, regulatory research, and diligence matters where legal precedent and legal analysis matter.
Pros:
- Strong legal research capabilities
- Helpful for summarizing and synthesizing legal information
- Useful drafting support
- Intuitive interface
Cons:
- Not as specialized for deep clause extraction as dedicated contract tools
- Costs can increase with heavy use
3. Everlaw
Everlaw is an eDiscovery platform with AI features that support document review, clustering, near-duplicate detection, and concept search. While it is primarily known for litigation and investigations, it also works well in due diligence settings that involve large unstructured data sets.
Why it stands out for due diligence:
Everlaw is useful when diligence includes internal communications, email archives, document dumps, or other high-volume electronic data. Its AI capabilities help teams identify patterns, prioritize review, and locate relevant materials more efficiently.
Best for:
Due diligence involving large volumes of emails, internal records, and unstructured documents.
Pros:
- Strong eDiscovery and review workflow
- Good for large, messy data sets
- Powerful search and clustering tools
- Familiar to legal teams used to eDiscovery
Cons:
- Built primarily for eDiscovery use cases
- Less specialized for clause-by-clause contract extraction
4. ThoughtTrace
ThoughtTrace uses AI to analyze complex documents, including contracts and technical reports. Its proprietary AI engine is designed to understand meaning and context rather than relying only on keyword search.
Why it stands out for due diligence:
ThoughtTrace is useful where contract language is technical, detailed, or highly specialized. It can help identify obligations, risks, and compliance issues in industries where standard review tools may struggle with complex terminology.
Best for:
Technical industries such as energy, manufacturing, and construction, as well as diligence involving complex contractual or regulatory language.
Pros:
- Strong handling of technical and legal language
- Useful for nuanced risk identification
- Works well with industry-specific terminology
- Supports compliance and risk review
Cons:
- Highly specialized
- May be less relevant for routine commercial contracts
- May require some adjustment for new users
5. Verity by HighQ/Thomson Reuters
Verity is an AI-powered contract review solution focused on extracting and analyzing key information from contracts. It uses NLP to help users identify clauses, assess obligations, and support compliance review.
Why it stands out for due diligence:
Verity can streamline contract-heavy diligence by helping legal and finance teams quickly review obligations, identify risk, and assess the target’s contractual profile. It is especially helpful when review consistency matters across a large number of agreements.
Best for:
Corporate legal departments, M&A teams, and financial institutions that handle contract-intensive due diligence.
Pros:
- Strong NLP for contract review
- Works within the Thomson Reuters ecosystem
- Good for clause extraction and structured analysis
- Useful for repeatable review workflows
Cons:
- Primarily contract-focused
- May need other tools for broader diligence tasks
6. Diligent
Diligent offers a broader suite of governance and compliance tools rather than a single-purpose contract review product. Its modules can help teams review corporate structures, board materials, subsidiary information, and compliance-related issues. It also includes AI-enabled risk and compliance features that may support adverse media and regulatory scanning.
Why it stands out for due diligence:
Diligent is useful when the goal is to understand a company’s governance posture, organizational structure, and compliance exposure. It helps centralize information that can be important in corporate due diligence and risk assessment.
Best for:
Governance review, compliance diligence, subsidiary tracking, and reputational risk monitoring.
Pros:
- Broad corporate governance and compliance functionality
- Helpful for entity and structure review
- AI support for risk scanning
- Useful for ongoing oversight, not just one-off deals
Cons:
- Not a primary tool for deep contract analysis
- Less suited to detailed financial statement review
- AI capabilities are more focused on risk monitoring than document deconstruction
How to Choose the Right AI Tool for Due Diligence
The best choice depends on what you need to review, how much volume you handle, and how your team works.
Consider the following:
- Scope of diligence: Are you reviewing contracts, financials, public records, news, or a mix of sources?
- Document complexity: Do the materials include technical, industry-specific, or highly customized language?
- Workflow fit: Does the tool work with your current legal tech stack, document system, or eDiscovery process?
- Ease of use: Will your team be able to adopt it quickly, or will it require significant training?
- Accuracy and oversight: How does the tool handle validation, and how much human review is still needed?
- Scale: Can it handle current volumes and future growth?
A contract-heavy M&A review may call for Kira Systems or Verity. Legal research and analysis may be better served by Casetext with CoCounsel. Large document collections may be easier to manage in Everlaw. Governance and compliance-focused diligence may fit better with Diligent.
Pricing and Value Considerations
AI due diligence tools vary widely in price and packaging. Common pricing factors include:
- Subscription model: Often priced by user, document volume, or feature tier
- Per-project or per-document pricing: Sometimes used for occasional or transaction-based work
- Implementation and training costs: Important to factor in for setup and adoption
- Return on investment: Time saved, faster deal cycles, and reduced risk can justify the spend
The right tool is not always the cheapest one. The better question is whether it reduces manual effort, improves accuracy, and supports the type of diligence your team actually performs.
Frequently Asked Questions About AI for Due Diligence
Can AI completely replace human due diligence professionals?
No. AI is best used to augment human expertise, not replace it. It can automate repetitive work, accelerate review, and flag issues, but legal judgment and context still matter.
How accurate are AI tools for due diligence?
Accuracy varies by platform and use case. Many tools perform well on structured tasks like clause extraction and document classification, but human review is still important for final decisions.
What types of documents can AI tools analyze?
AI due diligence tools can work with contracts, financial statements, regulatory filings, emails, corporate records, and other unstructured text documents.
Is AI for due diligence only for large companies?
No. While large firms often adopt these tools first, many vendors now offer cloud-based and tiered pricing options that make them accessible to smaller firms and businesses.
How does AI help identify risk?
AI can flag unusual contract terms, inconsistencies across documents, anomalies in financial data, adverse media mentions, and patterns that may indicate compliance or reputational risk.
What is the learning curve like?
It depends on the platform. Some tools are easy to adopt, while others require training to use effectively. The more specialized the tool, the more onboarding may be needed.
Conclusion
AI is changing how due diligence is done. Instead of relying entirely on manual review, legal and business teams can use AI tools to process documents faster, surface risks earlier, and make more informed decisions.
The best AI tools for due diligence are the ones that match your workflow, document types, and review priorities. Whether you need contract analysis, legal research, eDiscovery support, or governance monitoring, there is now a growing set of tools that can improve speed and consistency without replacing human judgment.
For teams in law and related industries, adopting the right AI solution can make due diligence more efficient, more scalable, and more useful in practice.