Diligen

About Diligen

Diligen is an AI-powered contract review platform designed to automate due diligence and contract analysis for legal professionals. The tool uses machine learning to read and extract key provisions, clauses, and data points from contracts, reducing the time attorneys and paralegals spend on manual document review. It can process large volumes of agreements simultaneously, flagging relevant terms, identifying missing clauses, and organizing extracted information into structured reports or summaries that legal teams can act on directly. The primary use cases center on due diligence workflows, particularly in transactions where legal teams must review hundreds or thousands of contracts under time pressure. Diligen is used for mergers and acquisitions, real estate portfolio reviews, lease abstraction, and general contract management. Users can configure the system to search for specific clause types relevant to a given matter, and the platform learns from reviewer feedback to improve accuracy over time. Extracted data can be exported for further analysis, making it easier to surface risk, identify non-standard terms, and compare provisions across a contract set. Diligen is built for law firms, in-house legal departments, and legal service providers that handle significant contract volume. It is particularly well suited to teams that need to scale review capacity without proportionally increasing headcount. The platform positions itself as a tool that works alongside lawyers rather than replacing legal judgment, with human reviewers retaining control over final analysis. Pricing is not publicly listed on the website, which is typical for enterprise legal software, suggesting that costs are structured around contract volume, team size, or negotiated agreements with individual clients. Organizations interested in the platform would need to contact Diligen directly for a quote or demonstration. The tool competes in a growing market of AI contract review solutions alongside products like Kira, Luminance, and Evisort.

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