LawGeex
LawGeex is an AI-powered contract review platform that analyzes legal documents and compares them against thousands of contracts in its database
Diligen is machine learning-powered contract analysis software designed for law firms, legal service providers, and c...
Diligen is a machine learning–powered contract analysis tool for law firms, legal service providers, and corporate legal departments. It automatically identifies hundreds of key provisions, supports collaborative review workflows, generates Word and Excel summaries, and lets teams train the system to recognize custom clauses. It scales from small matters to hundreds of thousands of contracts and is aimed at due diligence, lease review, compliance, and similar high-volume legal review tasks.
Diligen is a machine learning–powered contract analysis platform built specifically for legal teams that need to review large volumes of documents quickly and accurately. The system automatically identifies hundreds of key provisions across uploaded contracts, giving reviewers instant insight into terms, parties, dates, and clause types without reading every page manually. At the core of the platform are hundreds of pre-trained clause models that work from day one, so teams can start extracting meaningful information as soon as they import their documents. Reviewers can filter contracts by name, date, parties, or any provision type, then drill into specific concepts that matter for a given matter or transaction. Diligen is designed around collaborative review. Contracts can be assigned to team members, progress can be tracked, and the review process can be managed centrally from a single interface. When analysis is complete, the platform generates contract summaries in Word or Excel, making it straightforward to share findings with clients or internal stakeholders. A notable differentiator is the ability to train Diligen to recognize new clauses or concepts specific to a firm's practice. This means teams working in specialized areas — oil and gas, privacy, LIBOR transition, or unusual lease structures — can extend the model beyond its out-of-the-box coverage. The platform serves a wide spectrum of users, from small legal teams to large corporations, and supports diverse workflows including due diligence, lease review, audit and compliance, metadata extraction, and NDA analysis. Buyers should confirm current pricing and plan details directly with Diligen, as published figures vary across third-party sources.
Diligen is a machine learning–powered contract analysis platform for law firms, legal service providers, and corporate legal departments. It automatically identifies hundreds of key provisions, supports collaborative review, and exports Word and Excel summaries, with the ability to train custom clause models. It is used from small legal teams up to large corporations for due diligence, lease review, and compliance work.
Diligen is a Toronto-based legaltech company that develops machine learning–powered contract analysis software. It was founded by Laura van Wyngaarden and Konrad Pola, and is headquartered at 123 Edward St, Suite 205, Toronto, ON. The company's mission centers on making high-quality contract review faster, more efficient, and more cost effective for legal teams of all sizes.
The product was designed with input from legal professionals and is positioned as a specialized solution for contract review rather than a general-purpose tool. Diligen states that its customers range from small legal teams to Fortune 15 companies around the world.
Diligen's core capability is automatically identifying hundreds of key provisions across imported contracts using machine learning, backed by hundreds of pre-trained clause models available from day one. Users can filter contracts by name, date, parties, or any provision type, effectively turning large document sets into a searchable database.
The platform emphasizes collaborative review, allowing teams to assign contracts to members, collaborate, and manage the overall review process from a single secure interface. Teams can also train the system to recognize new clauses or concepts specific to their needs, extending coverage into specialized domains.
When review is complete, Diligen automatically generates contract summaries in Word or Excel. The company highlights scalability — from 50 contracts to 500,000 — and a flexible, customizable interface as key differentiators.
Diligen serves three primary segments: law firms looking to streamline review and offer more value to clients, legal service providers delivering faster, higher-quality review at project scale, and corporations working to understand their contracts and respond to regulatory change. Its use cases span due diligence, lease review, audit and compliance, metadata extraction, oil and gas, privacy, NDAs, and LIBOR-related reviews, with adoption ranging from small legal teams to Fortune 15 companies.
Attorneys, paralegals, and legal review specialists who upload contracts, review automatically identified provisions, and produce summaries for clients or internal teams.
Law firm partners, heads of legal service delivery, and corporate general counsel or legal operations leaders who evaluate and purchase contract review tooling.
Legal technology and innovation managers, knowledge management professionals, and IT/security stakeholders who assess fit, workflow integration, and data handling.
A law firm, alternative legal service provider, or corporate legal department that regularly handles high-volume contract review — such as due diligence, lease abstraction, or compliance audits — and wants machine learning assistance plus collaborative workflow management with the ability to train custom clause models.
According to available research, Diligen has not raised any disclosed funding rounds. No valuation or ARR figures are available for the company.
Pricing is not published on Diligen's own site, and third-party sources report different figures — some cite subscription plans starting around $350/month, while others describe per-deal engagement pricing for due diligence work in the roughly $10K–$30K range. Because these numbers vary and may be outdated, you should request a quote directly from Diligen based on your volume and use case.
You import contracts into the platform, and its machine learning models automatically identify hundreds of key provisions across the document set. You can then filter and review contracts by name, date, parties, or provision type, assign documents to teammates, and export summaries to Word or Excel. The core workflow is designed to turn a large pile of contracts into a searchable, reviewable database.
Yes. Beyond its hundreds of pre-trained clause models, Diligen lets you train the system to identify new clauses or concepts that matter to your work. This is useful for specialized areas such as oil and gas, privacy, NDAs, and lease review where standard models may not cover every provision.
Diligen is a demo-led product rather than a self-serve signup, so you begin by requesting a demo with their team to discuss your use case. After onboarding, you upload your contracts and immediately benefit from the pre-trained clause models before adding any custom training. There is no public free trial listed on the site.
Yes. The platform is designed to scale from as few as 50 contracts to hundreds of thousands, and it is used by organizations ranging from small legal teams to large corporations. Collaborative assignment and review management features help coordinate the work across a team.
Diligen automatically generates contract summaries in both Word and Excel formats. This makes it easy to share extracted provisions and findings with clients or internal stakeholders using tools legal teams already rely on.
No, Diligen does not offer a free plan or free trial according to available research. Pricing starts at $350/month for the Essential plan, though some sources indicate pricing may not be publicly listed and requires contacting the vendor directly.
Integration details were not found in our research — check the official website or contact Diligen directly for information about integrations with other legal software and document management systems.
Diligen is specifically designed for contract analysis using machine learning, distinguishing it from general contract management tools. Alternative contract analysis platforms exist, but Diligen's focus on training custom clause recognition and generating automated summaries positions it for legal teams with specialized review needs rather than basic contract storage.
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