Diligen, the award-winning machine learning-based contract review platform, today announced the release of more than 250 pre-trained clause models.
With this expansion of the Diligen clause library, the platform automatically identifies hundreds of new clause types in contracts – helping law firms and legal departments review contracts faster and more efficiently, straight ‘out of the box’. These new Diligen clause sets correspond with focused practice areas including Corporate Due Diligence, Lease Review, LIBOR, Finance Agreements, Oil and Gas, Confidentiality and Data Protection.
According to a recent Bloomberg Law Legal Operations & Technology Survey, the top barriers to AI technology adoption within law firms and law departments remains users’ lack of tech-savvy as well as limited time to learn new systems. Diligen’s expanded clause library targets legal practice areas that are likely to require the highest amounts of contract review. This provides law firms and legal departments with a simple, out of the box approach to streamline and automate the contract review process with minimal additional training.
“We have substantially expanded our library of pre-trained clause models in response to client demand. We are delighted about both the range of clause models and quality of the training that we can bring to our new and current clients” stated Laura van Wyngaarden, Co-Founder and COO of Diligen. “With this extension of our capabilities, our clients will be able to quickly leverage the power of AI-assisted contract review in new areas.”
In her role as Diligen’s Senior Legal Contract Analyst, Alison Meredith works directly with clients to train clauses on the Diligen platform. “The key advantage of maintaining an in-house library of clause models is that it reduces barriers to entry for clients who do not have the time or resources to self-train models either for general use or in advance of a project with a tight deadline.”
Diligen’s approach to new clause sets is two-fold. Diligen’s internal legal experts typically train clause models based on general client business needs as well as a review of current events, and regulatory changes such as LIBOR (finance), GDPR/CCPA (data protection), and Brexit (corporate due diligence). Where a clause model is custom to a specific client project or niche legal area, Diligen clients are also able to easily train the platform to recognise new clause types themselves.
Key updates, among the recently added and updated Diligen clauses, include:
Diligen was named as one of the AI leaders for 2018 by The National Law Journal. The company was also identified by Analytics Insight as one of The 10 Most Promising Artificial Intelligence Companies and was a finalist in the 2018 AI Legal Challenge sponsored by The Ontario Ministry of the Attorney General and the Legal Innovation Zone.
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