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that can perform one or more predictive operations based on characteristics of a user, a document, a user account, or historical document activity.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.

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that can perform one or more predictive operations based on characteristics of a user, a document, a user account, or historical document activity.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.

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that can perform one or more predictive operations based on characteristics of a user, a document, a user account, or historical document activity.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.

Abstract: An automatic template system can allow users to create automatic templates and use the automatic templates to generate documents using data from a linked CRM system. To facilitate the generation of automatic templates, the automatic template system can provide a template creation interface allowing a user to generate an automatic template (including setting up template logic). The template creation interface can include a CRM integration area with a set of tagged data fields representing relevant data from a linked CRM database and a document editing area allowing a user to edit document content, insert merge fields linked to tagged data fields, and edit template logic via an inline logic interface for adding and modifying template logic.

Abstract: An automatic template system can allow users to create automatic templates and use the automatic templates to generate documents using data from a linked CRM system. To facilitate the generation of automatic templates, the automatic template system can provide a template creation interface allowing a user to generate an automatic template (including setting up template logic). The template creation interface can include a CRM integration area with a set of tagged data fields representing relevant data from a linked CRM database and a document editing area allowing a user to edit document content, insert merge fields linked to tagged data fields, and edit template logic via an inline logic interface for adding and modifying template logic.

Abstract: An automatic template system can allow users to create automatic templates and use the automatic templates to generate documents using data from a linked CRM system. To facilitate the generation of automatic templates, the automatic template system can provide a template creation interface allowing a user to generate an automatic template (including setting up template logic). The template creation interface can include a CRM integration area with a set of tagged data fields representing relevant data from a linked CRM database and a document editing area allowing a user to edit document content, insert merge fields linked to tagged data fields, and edit template logic via an inline logic interface for adding and modifying template logic.