Abstract: The present disclosure relates to methods and systems for ingesting content from data feeds and to generate an enhanced output of relevant content for presentation to a user to facilitate analysis of the relevant content. Content is received from data feeds, and filtered to identify relevant content with respect to a particular context. The relevant content is then processed, e.g., using natural language processes, to extract entities involved, and to also identify particular activities detailed in the relevant content. Activity-mining is applied to the identified relevant data to classify and assigned activity tags to the extracted entity. Based on the extracted and identified information, an enhanced output is generated for presentation to facilitate research operations. The enhanced output may include overlaid graphical annotations, indicators, and graphical controls over the relevant articles to provide a means for updating a database based on the relevant content.

Abstract: Computer implemented methods for categorizing documents are provided that include: receiving a document having a plurality of headnotes and metadata associated with the document, wherein the plurality of headnotes each comprise a segment of text that summarizes at least a portion of the document; predicting using at least a first machine learning model, for at least a first of the plurality of headnotes, a statute pertaining to the first headnote, wherein the predicted statute has associated therewith a taxonomy of topics; predicting using the first machine learning model, a topic from the taxonomy of topics associated with the statute that the first headnote pertains; and associating the first headnote with the predicted topic.

Abstract: The present disclosure relates to methods and systems for ingesting content from data feeds and to generate an enhanced output of relevant content for presentation to a user to facilitate analysis of the relevant content. Content is received from data feeds, and filtered to identify relevant content with respect to a particular context. The relevant content is then processed, e.g., using natural language processes, to extract entities involved, and to also identify particular activities detailed in the relevant content. Activity-mining is applied to the identified relevant data to classify and assigned activity tags to the extracted entity. Based on the extracted and identified information, an enhanced output is generated for presentation to facilitate research operations. The enhanced output may include overlaid graphical annotations, indicators, and graphical controls over the relevant articles to provide a means for updating a database based on the relevant content.

Abstract: In a system comprising a local processing device, a transmission link to a remote processing device, and a remote processing device, a method for updating a remote document in accordance with mutations made to a portion of the remote document maintained on the local processing device comprising the steps of loading at least a portion of the remote document into the local processing device as a local XML document, creating a logical document object model (DOM) having a plurality of nodes arranged in a logical hierarchical structure such that each node corresponds to an XML tag and data element in the XML document, mutating the XML document by adding, deleting, or modifying one or more of its data elements, updating the DOM to conform to the mutations to the XML document, creating a first event table that contains events corresponding to each mutation to the XML document where each entry comprises a path to a node in the DOM affected by the mutation and an event type, processing the first event table to create

Abstract: In a system comprising a local processing device, a transmission link to a remote processing device, and a remote processing device, a method for updating a remote document in accordance with mutations made to a portion of the remote document maintained on the local processing device comprising the steps of loading at least a portion of the remote document into the local processing device as a local XML document, creating a logical document object model (DOM) having a plurality of nodes arranged in a logical hierarchical structure such that each node corresponds to an XML tag and data element in the XML document, mutating the XML document by adding, deleting, or modifying one or more of its data elements, updating the DOM to conform to the mutations to the XML document, creating a first event table that contains events corresponding to each mutation to the XML document where each entry comprises a path to a node in the DOM affected by the mutation and an event type, processing the first event table to create