Abstract: Systems and methods for automating workflows, improving operating efficiency, and/or improving security in a multi-party document management platform are disclosed. The systems and methods utilize artificial intelligence (AI) models to analyze user profiles, generate risk scores for multi-party agreements, and determine risk mitigation actions. User interactions with modified agreements are monitored, and the AI models are updated based on these interactions. The system automatically adjusts operating parameters to improve operating efficiency and/or security. The methods and systems also provide for generating recommendations, utilizing user feedback, analyzing user action patterns, performing portfolio-level risk assessments, and identifying workflow inefficiencies. These features enable a dynamic, adaptive platform that continuously improves its performance in managing multi-party agreements while also enhancing security and operational efficiency.

Abstract: Systems and methods for automating workflows, improving operating efficiency, and/or improving security in a multi-party document management platform are disclosed. The systems and methods utilize artificial intelligence (AI) models to analyze user profiles, generate risk scores for multi-party agreements, and determine risk mitigation actions. User interactions with modified agreements are monitored, and the AI models are updated based on these interactions. The system automatically adjusts operating parameters to improve operating efficiency and/or security. The methods and systems also provide for generating recommendations, utilizing user feedback, analyzing user action patterns, performing portfolio-level risk assessments, and identifying workflow inefficiencies. These features enable a dynamic, adaptive platform that continuously improves its performance in managing multi-party agreements while also enhancing security and operational efficiency.