Diligen applies machine learning and natural language processing to contract review, automating the identification of key provisions and clause types across large document sets. The platform supports a range of workflows including M&A due diligence, lease review, finance agreements, and confidentiality reviews, and is used by both law firms and corporate legal departments.
Key Features & Functions:
Clause Identification
Analyses contracts to automatically surface key provisions and clause types across a range of practice areas, including M&A due diligence, lease review, finance agreements, and confidentiality. Pre-trained clause models are available out of the box, with the ability to expand coverage across additional clause types.
Custom Clause Training
Allows legal teams to train the platform to recognise clause types specific to their practice area or matter type. The system incorporates user feedback over time to refine identification accuracy.
Contract Summaries
Generates summaries of reviewed contracts, drawing on extracted clause and provision data. Summaries can be produced as Word documents or Excel spreadsheets and are editable by reviewers prior to finalisation.
Document Filtering and Sorting
Enables teams to sort and filter document sets by contract type, date, governing law, or clause type, allowing reviewers to focus on relevant subsets of a portfolio without manual triage.
Team Collaboration
Supports assignment of contracts to individual team members, with commenting functionality and review status monitoring to manage workload and track progress across a project.
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