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that can perform one or more predictive operations based on characteristics of a user, a document, a user account, or historical document activity.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that can perform one or more predictive operations based on characteristics of a user, a document, a user account, or historical document activity.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that can perform one or more predictive operations based on characteristics of a user, a document, a user account, or historical document activity.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: 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 auto-tagging engine receives a training set of data comprising documents including a set of tagged fields with each tagged field corresponding to a portion of the document. The auto-tagging engine trains a machine learned model using the training set of data. The trained machine learned model, when applied to a target document in a document management environment, identifies portions of the target document each corresponding to fields of the target document. For each field of the target document, the auto-tagging engine identifies text of the target document associated with the identified potions of the target document corresponding to fields. Natural language processing is performed on the identified text in order to identify field types for the fields. The target document is automatically modified to include a tag identifying the portion of the target document corresponding to each field and identifying a field type of the field.

Abstract: An electronic document service provides an interoperable network in which entities can come to agreement as peers. Entities can create a network of trusted accounts, enable sharing and collaboration within the network, enforce process settings of shared transactions, and enable customized levels of visibility into transactions for all entities involved. In embodiments, an agent server receives documents from suppliers to be executed within a network of the electronic document service. Each document corresponds to signing requirements and collection requirements. The agent server combines the documents into a single signing package based on the signing requirements associated with each document. The agent server provides the signing package for execution, and receives the executed signing package. The agent server extracts the individual signed documents from the executed signing package.

Abstract: Architecture that provides the ability to intelligently page (slice) hierarchical datasets through viewing operations of a hierarchical view. This further provides the capability to make additions to/deletions from the hierarchy view and manage the parent/child relationship of view records without ever sending the entire recordset to the client or receiving the entire recordset back to the server, thereby optimizing operation performance on the hierarchical datasets.

Abstract: Architecture for multi-level undo on a client in grid-based applications. The architecture is a control driven cascading changes system where change tracking works seamlessly in asynchronous (and synchronous) scenarios. A client application is associated with a grid object and, instantiates and configures the grid object. The application can initiate a change to data in the grid and/or the user can edit the data in the grid directly. A result of the change is a notification to the application, the notification including an order key. The application consumes the notification and can then append new changes based on synchronous or asynchronous computations by calling an update function using the order key. The application uses the key to attach further updates which are properly collected together for undo/redo.

Abstract: Architecture that provides the ability to intelligently page (slice) hierarchical datasets through viewing operations of a hierarchical view. This further provides the capability to make additions to/deletions from the hierarchy view and manage the parent/child relationship of view records without ever sending the entire recordset to the client or receiving the entire recordset back to the server, thereby optimizing operation performance on the hierarchical datasets.

Abstract: Architecture for multi-level undo on a client in grid-based applications. The architecture is a control driven cascading changes system where change tracking works seamlessly in asynchronous (and synchronous) scenarios. A client application is associated with a grid object and, instantiates and configures the grid object. The application can initiate a change to data in the grid and/or the user can edit the data in the grid directly. A result of the change is a notification to the application, the notification including an order key. The application consumes the notification and can then append new changes based on synchronous or asynchronous computations by calling an update function using the order key. The application uses the key to attach further updates which are properly collected together for undo/redo.

Abstract: Displaying interrelated changes in a grid may be provided. Grid cells in a document may be modified when either a grid cell is directly changed by a user, or when a grid cell changes due to information residing in another cell changing. The modified grid cells allow the user to perceive how certain changes to data in one grid cell can affect other grid cells.

Abstract: A project management system is enabled to handle multiple currencies within managed projects. An exchange series includes currency definition parameters such as currency pairing, frequency of rate change, and effective date of exchange rate. Using the exchange series and a strong definition of cost for tasks and resources (i.e. indicating currency type along with value of cost), the project management system allows costs to be entered in local currency. Project level roll-ups are calculated employing time-phased currency conversion based on whether the cost is variable or fixed. For scheduling, speculative conversions are facilitated based on latest actual exchange rate information. Local and project currency costs are provided to a project server for enterprise level roll-ups and multi-project management.

Abstract: Architecture that provides the ability to intelligently page (slice) hierarchical datasets through viewing operations of a hierarchical view. This further provides the capability to make additions to/deletions from the hierarchy view and manage the parent/child relationship of view records without ever sending the entire recordset to the client or receiving the entire recordset back to the server, thereby optimizing operation performance on the hierarchical datasets.

Abstract: Architecture for multi-level undo on a client in grid-based applications. The architecture is a control driven cascading changes system where change tracking works seamlessly in asynchronous (and synchronous) scenarios. A client application is associated with a grid object and, instantiates and configures the grid object. The application can initiate a change to data in the grid and/or the user can edit the data in the grid directly. A result of the change is a notification to the application, the notification including an order key. The application consumes the notification and can then append new changes based on synchronous or asynchronous computations by calling an update function using the order key. The application uses the key to attach further updates which are properly collected together for undo/redo.

Abstract: Displaying interrelated changes in a grid may be provided. Grid cells in a document may be modified when either a grid cell is directly changed by a user, or when a grid cell changes due to information residing in another cell changing. The modified grid cells allow the user to perceive how certain changes to data in one grid cell can affect other grid cells.