Abstract: Systems and methods include identification of a plurality of items, each of the plurality of items associated with a value of each of a plurality of attributes, determination of a first set of matching criteria, the first set of matching criteria comprising a first plurality of the plurality of attributes, identification of an agreement comprising a plurality of agreement items, each of the agreement items associated with a value of each of the plurality of attributes, determination, based on the first set of matching criteria, one or more of the first plurality of items which match at least one agreement item of the agreement, presentation of an indication of the one or more of the first plurality of items which match at least one agreement item of the agreement, reception of an instruction to add one or more of the one or more of the first plurality of items which match at least one agreement item of the agreement to the agreement, and, in response to the instruction, addition of the one or more of the one

Abstract: According to some embodiments, methods and systems may include a data storage device that contains document files associated with a plurality of document line objects with attributes, the attributes including item terms and conditions. An object exchange platform processor may receive input values for a selected document line object with attributes and determine that the selected document line object contains multiple object sets. The processor may then create, for each object set, a separate executable outline document having an outline document identifier. The processor may also arrange to establish the plurality of executable outline documents at a remote external central component platform. According to some embodiments, objects within the selected document line object have a hierarchical structure such that some objects are sub-items of other objects.

Abstract: A method for machine learning based document editing is provided. The method may include receiving, from a client, one or more inputs associated with a document. A recommendation to include and/or exclude a clause, a term, and/or a line item from the document may be generated by at least processing the one or more inputs with a machine learning model. The recommendation to include and/or exclude the clause, the term, and/or the line item from the document may be provided to the client. Related systems and articles of manufacture, including computer program products, are also provided.

Abstract: A first version of a document is accessed so that a corresponding contract dictionary is generated with a plurality of string tokens. Subsequently, a visual distinction is assigned to the corresponding ranking priority of each of the plurality of string tokens. A second version of the document is accessed and changed string tokens are identified by comparing the second version with the first version of the document. A corresponding ranking priority is then retrieved for each of the changed string tokens in the contract dictionary so that each of the changed string tokens can be highlighted with the visual distinction corresponding to the ranking priority. Each of the highlighted changed string tokens can then be displayed with the visual distinction and the document on a graphical user interface.

Abstract: A method for machine learning based document editing is provided. The method may include receiving, from a client, one or more inputs associated with a document. A recommendation to include and/or exclude a clause, a term, and/or a line item from the document may be generated by at least processing the one or more inputs with a machine learning model. The recommendation to include and/or exclude the clause, the term, and/or the line item from the document may be provided to the client. Related systems and articles of manufacture, including computer program products, are also provided.

Abstract: A method for machine learning based document editing is provided. The method may include receiving, from a client, one or more inputs associated with a document. A recommendation to include and/or exclude a clause, a term, and/or a line item from the document may be generated by at least processing the one or more inputs with a machine learning model. The recommendation to include and/or exclude the clause, the term, and/or the line item from the document may be provided to the client. Related systems and articles of manufacture, including computer program products, are also provided.

Abstract: A first version of a document is accessed so that a corresponding contract dictionary is generated with a plurality of string tokens. Subsequently, a visual distinction is assigned to the corresponding ranking priority of each of the plurality of string tokens. A second version of the document is accessed and changed string tokens are identified by comparing the second version with the first version of the document. A corresponding ranking priority is then retrieved for each of the changed string tokens in the contract dictionary so that each of the changed string tokens can be highlighted with the visual distinction corresponding to the ranking priority. Each of the highlighted changed string tokens can then be displayed with the visual distinction and the document on a graphical user interface.

Abstract: A method and system including a data storage device to store document files, entity graph data structures, and data graph data structures; a processor to receive input values for parameters of a plurality of entities related to a document being authored; generate an entity graph data structure linking, directly or indirectly, the plurality of entities based on shared property commonalities between the plurality of entities; generate a data graph data structure based on the entity graph data structure and at least one of at least one existing document file, curated document terms, and relevant terms acceptable to the plurality of entities; and automatically generate, based on the data graph data structure, a self-awareness notification for the document being authored, the self-awareness notification indicating an action related to a continued authoring of the document being authored; and an output to output a user interface to display the generated notification in a notification interface area of a user interf

Abstract: According to some embodiments, methods and systems may include a data storage device that contains document files associated with a plurality of document line objects with attributes, the attributes including item terms and conditions. An object exchange platform processor may receive input values for a selected document line object with attributes and determine that the selected document line object contains multiple object sets. The processor may then create, for each object set, a separate executable outline document having an outline document identifier. The processor may also arrange to establish the plurality of executable outline documents at a remote external central component platform. According to some embodiments, objects within the selected document line object have a hierarchical structure such that some objects are sub-items of other objects.

Abstract: A method and system including a data storage device to store document files, entity graph data structures, and data graph data structures; a processor to receive input values for parameters of a plurality of entities related to a document being authored; generate an entity graph data structure linking, directly or indirectly, the plurality of entities based on shared property commonalities between the plurality of entities; generate a data graph data structure based on the entity graph data structure and at least one of at least one existing document file, curated document terms, and relevant terms acceptable to the plurality of entities; and automatically generate, based on the data graph data structure, a self-awareness notification for the document being authored, the self-awareness notification indicating an action related to a continued authoring of the document being authored; and an output to output a user interface to display the generated notification in a notification interface area of a user interf

Abstract: A method for machine learning based document editing is provided. The method may include receiving, from a client, one or more inputs associated with a document. A recommendation to include and/or exclude a clause, a term, and/or a line item from the document may be generated by at least processing the one or more inputs with a machine learning model. The recommendation to include and/or exclude the clause, the term, and/or the line item from the document may be provided to the client. Related systems and articles of manufacture, including computer program products, are also provided.