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  5. Due Diligence

Due Diligence

Due diligence is the systematic investigation of a company, transaction, or legal matter to identify material risks, liabilities, and issues before a deal closes, an investment is made, or a legal decision is taken.

Last reviewed: 2026/05/19

Definition

Why It Matters for Lawyers

How AI Tools Handle It

Frequently Asked Questions

Q1: What types of documents are typically reviewed in M&A legal due diligence?
M&A legal due diligence typically covers: material contracts (customer, vendor, license, financing), corporate records (charter, bylaws, board minutes, cap table), litigation and disputes, IP ownership and registrations, employment agreements and equity plans, real property leases, regulatory licenses and permits, and environmental liabilities. The scope is adjusted based on the target's business type and the deal structure.
Q2: How do AI tools handle documents in languages other than English in a cross-border deal?
Most AI due diligence tools have developed multi-language capabilities for major European and Asian languages, but performance varies by language and document type. Before deploying AI on foreign-language documents, verify the tool's stated language capabilities and test them on representative samples. Foreign-language documents may require bilingual attorney review regardless of the tool's language support.
Q3: What is a materiality threshold in due diligence, and how does AI help apply it?
Materiality thresholds define which issues are significant enough to affect deal terms, require disclosure, or merit further investigation. Lawyers set these thresholds based on deal size and structure; for example, contracts with values below a certain amount may be reviewed only for change-of-control provisions, not for all material terms. AI tools can be configured to apply these thresholds in their review parameters, prioritizing lawyer attention on issues above the threshold. --- *Last reviewed: 2026-05-19 by LawyerAI Editorial Team.*

Related Concepts

Legal Practice

Contract Review

Contract review is the legal process of analyzing a contract's terms, conditions, and obligations to identify risks, ensure compliance with applicable law, assess alignment with the client's interests, and negotiate or recommend changes before execution.

Capability

Contract Review AI

Contract Review AI is software that uses natural language processing to automatically identify, extract, and flag clauses, risks, and deviations from standard terms in legal contracts.

Capability

Discovery AI

Discovery AI is software that applies machine learning and natural language processing to litigation discovery, automating document review, relevance classification, and issue identification across large document collections.

Related Tools

  • Kira Systems

    AI clause extraction and due diligence trusted by AmLaw 100 firms.

  • Luminance

    Enterprise AI for portfolio-level contract analysis and institutional memory.

  • Everlaw

    Cloud eDiscovery with AI predictive coding and document summarization.

  • Harvey AI

    The most expensive legal AI in the market — Am Law 100 firms only.

Related Comparisons

  • Kira Systems vs Luminance: Enterprise Contract Analysis Compared

Related Reading

  • How We Score Legal AI Tools: The 5-Dimension Methodology

Last reviewed: 2026/05/19. Definitions are written by the LawyerAI Editorial team. We do not accept affiliate commissions; Featured placement is clearly labeled and does not influence editorial content.

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Editorially independent. Methodology open and versioned.
© 2026LawyerAI Editorial

Due diligence is the systematic investigation of a company, transaction, or legal matter to identify material risks, liabilities, and issues before a deal closes, an investment is made, or a legal decision is taken.

Legal due diligence is central to M&A transactions, private equity investments, real estate acquisitions, and regulatory proceedings. In an M&A context, legal due diligence requires reviewing thousands of contracts, corporate records, litigation files, IP registrations, employment agreements, and regulatory filings to identify undisclosed liabilities, consent requirements, change-of-control triggers, and other matters that could affect deal value or structure.

The volume involved in large deals makes manual due diligence both slow and inconsistent. A mid-market acquisition might involve a data room with 3,000 documents; a large-cap transaction may have 50,000 or more. Human review at that scale requires large teams, extended timelines, and still produces coverage gaps.

AI-assisted due diligence has become standard practice for volume-intensive reviews. The lawyer's role in AI-assisted due diligence is not eliminated but restructured: configuring the review to capture relevant provisions, reviewing AI-flagged issues, investigating anomalies, and applying judgment about materiality. The lawyer owns the diligence conclusions; the AI compresses the document screening phase.

Professional obligations require that due diligence results be complete enough to support informed client advice. If AI-assisted review misses material issues, the lawyer may face malpractice exposure — so quality control processes are essential.

AI due diligence tools are purpose-built for document-intensive transactional review. Kira Systems and Luminance support due diligence workflows by extracting defined provisions from data room documents and presenting them in organized reports for attorney review. Diligen specializes in contract data extraction with strong configurability for specific provision types relevant to due diligence.

These tools typically generate summary matrices showing how a defined provision appears across all reviewed contracts — for example, every change-of-control provision across 500 vendor agreements displayed in a single table. This allows the lawyer to quickly identify which contracts require consent for the deal to close and assess the scope of the consent solicitation exercise.

Harvey AI and similar tools support free-form analysis questions about diligence documents, allowing lawyers to ask questions like "which of these contracts has a survival clause exceeding three years?" across the document set rather than reviewing each document individually.

For a direct comparison of two major due diligence AI platforms, see Kira Systems vs. Luminance.