Abstract: A document management system uses machine learning to identify legal obligations within contract documents. The document management system trains a machine-learned model using historical contract documents having historical legal obligations; the trained machine-learned model is configured to identify portions of text within a contract document that correspond to legal obligations. The machine-learned model, applied to a set of contract documents, identifies a set of legal obligations. The document management system presents, via a user interface, information about the set of identified legal obligations.

Abstract: A document management system can include an artificial intelligence-based document manager that can perform one or more predictive operations based on characteristics of a user, a document, a user account, or historical document activity. For instance, the document management system can apply a machine-learning model to determine how long an expiring agreement document is likely to take to renegotiate and can prompt a user to begin the renegotiation process in advance. The document management system can detect a change to language in a particular clause type and can prompt a user to update other documents that include the clause type to include the change. The document management system can determine a type of a document being worked on and can identify one or more actions that a corresponding user may want to take using a machine-learning model trained on similar documents and similar users.