Diligen
Machine learning contract analysis for fast, accurate legal review.
If you're a legal team handling high volumes of standardized contracts, Diligen's 250+ pre-trained models and custom clause training will speed up review and keep it consistent. But skip it if you need CLM features, API access, or upfront pricing—you'll have to demo it to get a quote. Compared to alternatives like Kira Systems or Luminance, Diligen's strength is its focus on collaborative project management and regulatory change analysis, but those competitors may offer more transparent pricing or broader integrations.
Verified 9d ago · liveness 60/100 · cite: rightaichoice.com/tools/diligen
- Law firms reviewing high volumes of standardized contracts (e.g., NDAs, MSAs) seeking faster review times.
- Legal service providers managing large-scale contract review projects for clients across industries.
- Corporate legal teams needing to understand contract portfolios and respond quickly to regulatory changes.
- Teams requiring a secure, collaborative platform for ML-powered contract analysis.
- Organizations needing full contract lifecycle management (CLM), including e-signature and workflow automation.
- Teams with highly bespoke contracts where AI analysis may require heavy human correction.
- Budget-conscious buyers needing transparent pricing; Diligen requires scheduling a demo.
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Skip Diligen if you need full contract lifecycle management, API access for automation, or transparent self-serve pricing—you'll have to demo it and may find the lack of integrations a dealbreaker.
Pricing is not published; you must schedule a demo and negotiate a custom quote, which may include annual contracts or volume-based fees.
Diligen's contact-based pricing suits mid-to-large law firms and corporate legal teams that bill by the hour or have high contract volumes. For smaller teams or budget-conscious buyers, alternatives like Kira Systems might offer more transparent, per-user pricing, making Diligen less competitive for those with tight budgets.
In short
Diligen — Machine learning contract analysis for fast, accurate legal review. Best for Law firms reviewing high volumes of standardized contracts (e.g., NDAs, MSAs) seeking faster review times., Legal service providers managing large-scale contract review projects for clients across industries., Corporate legal teams needing to understand contract portfolios and respond quickly to regulatory changes.. Contact Sales pricing.
What's new in Diligen
Checked 6 days agoAcross the latest 1 update: 1 news mention.
Viability Score
How well maintained and how widely used is Diligen? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: September 2026
How we score →Key Features
- 250+ pre-trained clause models
- Custom clause training
- Automated contract summaries
- Tag and annotate documents
- Team collaboration for review projects
- Multi-tenant document repository
- Regulatory change analysis
- Web-based secure platform
- Project management for large-scale reviews
- Contract type recognition (NDA, MSA, etc.)
- Compliance audit support
About Diligen
Diligen is a contract analysis platform built for law firms, legal service providers, and corporate legal departments. It uses machine learning to help you identify key provisions, generate contract summaries, and manage large-scale review projects from one secure, web-based interface. If your team is drowning in repetitive contracts like NDAs or MSAs, Diligen is designed to make review faster, more consistent, and more cost-effective. The platform's core strength is its pre-trained clause models. Diligen ships with over 250 models that instantly recognize common provisions across a wide range of contract types. You can also train custom clauses to capture organization-specific language, which is especially useful for due diligence where consistency and speed are critical. Beyond analysis, Diligen includes project management features for large-scale reviews. You can tag and annotate documents, collaborate with your team, and store everything in a multi-tenant document repository. The platform also supports regulatory change analysis, helping you assess how new regulations impact your existing contract portfolio. Diligen is used by organizations from small legal teams to Fortune 15 companies, with partnerships like Epiq and BLG (Borden Ladner Gervais LLP) signaling industry trust. Compared to generic document processors, Diligen is tailored specifically for legal workflows. It does not offer a public API or transparent pricing—you'll need to schedule a demo—so it's not a fit for teams needing full contract lifecycle management or API-driven automation.
Behind the Verdict
Diligen is a purpose-built tool for contract analysis, not a general-purpose document AI. Its 250+ pre-trained clause models cover common provisions across NDAs, MSAs, and other standardized agreements, which is a huge time-saver for first-pass review. The ability to train custom clauses is a differentiator—you can teach it to spot your organization's specific language, which is critical in due diligence where consistency matters. Where Diligen shines is in large-scale review projects. The project management features—tagging, annotating, team collaboration—make it easy to coordinate multiple reviewers and keep everything in one secure repository. The regulatory change analysis is a nice bonus for corporate legal teams that need to assess portfolio impact when regulations shift. However, Diligen isn't for everyone. It's web-only, so no offline access, and pricing is opaque—you have to schedule a demo. There's no public API, so you can't easily integrate it with your existing enterprise tools. And while it excels at extracting clauses, it doesn't handle full contract lifecycle management like e-signature or workflow automation. Overall, if your pain point is high-volume, repetitive contract review, Diligen is worth a demo. But if you need a CLM platform or API-driven automation, look elsewhere—maybe at Kira Systems or Luminance, which might offer more flexibility in integrations and pricing models.
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Real-world workflow fit
Concrete scenarios for the personas Diligen actually fits — and what changes day-one when you adopt it.
The team is reviewing 5,000 contracts for a merger and needs to flag restrictive covenants and change-of-control clauses.
Outcome: Using Diligen's pre-trained models, they upload contracts, automatically identify key clauses, and tag them for review. Custom models are trained on client-specific language, reducing manual review time by 40% and ensuring consistency.
A client needs to assess how new data protection regulations impact their existing contract portfolio.
Outcome: Diligen's regulatory change analysis scans all contracts and flags affected provisions, generating a summary report that highlights liabilities and risks. The team uses the tagging features to organize follow-up actions.
The legal team is drowning in NDAs and wants to automate first-pass review to free up lawyers for higher-value work.
Outcome: They set up custom clause models for their NDA templates, review automated summaries, and only manually review exceptions. This cuts NDA review time from 30 minutes to 5 minutes per contract.
Use Cases
- Review thousands of contracts during M&A due diligence to flag restrictive covenants and change-of-control clauses.
- Analyze insurance policies for virus-related coverage exclusions.
- Summarize key terms from contract portfolios for regulatory compliance audits.
- Identify liability caps, indemnification, and termination clauses in vendor agreements.
- Automate first-pass review of NDAs, non-competes, and employment agreements.
- Train custom clause models to spot organization-specific provisions in lease or service contracts.
Models Under the Hood
as of 2026-08-30
Limitations
- Diligen is designed for contract review, offering machine learning powered analysis, including identifying key provisions and generating summaries.
- It is web-based and requires contacting the company for a demo.
- No information about pricing, trials, or integrations is provided in the evidence.
as of 2026-08-28
Verification history
We have re-verified Diligen 16 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
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Where the pricing makes sense
The company stage and team size where Diligen's pricing actually pencils out — and where peers do it cheaper.
Diligen's contact-based pricing suits mid-to-large law firms and corporate legal teams that bill by the hour or have high contract volumes. For smaller teams or budget-conscious buyers, alternatives like Kira Systems might offer more transparent, per-user pricing, making Diligen less competitive for those with tight budgets.
Setup time & first value
How long it actually takes to get something useful out of Diligen — broken out by persona, not the marketing-page minute.
Initial setup is fast—Diligen is web-based, so you can start uploading contracts within hours of a demo. Training custom clauses may take a few days to a week depending on the volume of examples you provide. Full team onboarding for large projects could take a couple of weeks.
Switching to or from Diligen
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Legacy manual review: Migrate by uploading your contract repository into Diligen; the pre-trained models start extracting clauses immediately, and you can train custom models as needed.
- ↗To Kira Systems: Export your extracted clause data and summaries, then configure Kira's models to match your requirements.
Resources & Guides
Tutorials & Learning
Official links
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