Described herein are methods and system for electronic file management having a central server that periodically scans files accessible to multiple computers to identify every file stored onto multiple electronic data repositories. The central server then executes a predetermined protocol to generate a unique identifier for each identified file. The central server then generates an interconnected nodal data structure computer model where each node represents an identified file and where the nodes are linked based on their respective files having similar unique identifiers. The central server periodically scans the electronic data repositories to identify related data. When a related file is identified, the central server modifies the nodal data structure accordingly. When a user requests access to a file, the central server displays all related data to the requested file.

Described herein are methods and system for electronic workflow management having a central server that periodically scans data accessible to multiple computers and data interacted with by different users to generate a nodal data structure comprising of interrelated nodes where each node corresponds to a workflow component, such as files, messages, tasks, and the like. The server then executes various analytical protocols to identify and link/merge nodes corresponding to related content. Upon receiving a set of notifications for a user, the server augments the notifications with data retrieved/derived from the nodal data structure. The server then prioritizes outputting the notifications based on their respective contextualized data and/or based on attributes received from the user.

Disclosed methods and systems allow a central server to monitor electronic units of work accessible to a group of computers and generate a nodal data structure representing the units of work. The server then uses various protocols, such as hashing algorithms and/or executing artificial intelligence and machine learning models to identify similar and/or related units of work. The server then merges/links the nodes corresponding to the similar/related units of work. The server also monitors all user activities. When a user or a software system/service accesses electronic content on his, her, or its electronic device, the server identifies a node corresponding to the accessed electronic content and associated unit(s) of work and presents searchable data and actions related to the identified node and any related/linked nodes.

Described herein are methods and system for electronic workflow management having a central server that periodically scans data accessible to multiple computers and data interacted with by different users to generate a nodal data structure comprising of interrelated nodes where each node corresponds to a workflow component, such as files, messages, tasks, and the like. The server then executes various analytical protocols to identify and link/merge nodes corresponding to related content. Upon receiving an indication that a user is entering his/her time into a timekeeping software tool, the server traverses the nodal data structure, identifies a relevant project associated with the user's worked hours and displays a suggestion (e.g., identified project) for the user.

Described herein are methods and system for electronic workflow management having a central server that periodically scans data accessible to multiple computers and data interacted with by different users to generate a nodal data structure comprising of interrelated nodes where each node corresponds to a workflow component, such as files, messages, tasks, and the like. The server then executes various analytical protocols to identify and link/merge nodes corresponding to related content. The server then allows a user to customize graphical user interfaces where the server arranges the content of each graphical user interface based on their corresponding relationships within the nodal data structure.