Abstract: The present invention provides a method and system and software that allow users to readily access online legal research tools, while using other applications, such as word processors. One exemplary computer-implemented system provide an add-on software framework that integrates into a host word-processing application on a client access device. The add-on software framework allows users to select from an expandable listing of one or more web applications on a web server, with each of the web application capable of controlling operation of the host word processing application. The web applications facilitate extraction and access to information from the information-retrieval services as well as secondary source reference texts and incorporation of the information in the document or in metadata associated with the document.

Abstract: Computer systems and corresponding methods are provided for computer assisted research in a network are provided that generate interface screens that include a map view of a plurality of selectable objects disposed in a nuclear arrangement in segmented rings about a first level object. The computing device is configured to receive selections of the displayed objects and expand the display to include additional segmented levels all surrounding the first level object.

Abstract: Systems and computer implemented methods for classifying documents are provided that include: pretraining and then fine tuning a machine learning model with a domain specific dataset that includes a plurality of documents each annotated with at one label selected from a plurality of predefined labels for a given domain; and predicting using the trained/fine tuned machine learning model, at least one label from the plurality of labels for at least one other document. The machine learning model is preferably fine tuned using a label attention multi-task learning process that includes: a first task for training the machine learning model with respect to all labels used for the plurality of documents in the dataset, and a second task for training the machine learning model with respect to a subset of all of the labels used for the plurality of documents in the dataset.

Abstract: A method of determining locations for social media postings may include: retrieving, by communicating with at least one application programming interface (API) of a social media system over one or more first communication networks, at least one social media posting; determining at least one location mention in the at least one social media posting; determining at least one location based on the at least one location mention; determining a primary location from the at least one location; storing, in at least one database on a non-transitory machine-readable storage medium, at least one set of geo-coordinates for the primary location in at least one posting object for the at least one social media posting; and outputting, by communicating with a user system over one or more second communication networks, the at least one social media posting with the stored at least one set of geo-coordinates for display on the user system.

Abstract: A method of remedying erroneous transactions in a distributed ledger system may include: determining, by a court system associated with the distributed ledger system, a judgment that a transferring, by a contract of the distributed ledger system during a conducting of a financial transaction, of a quantity of tokens of the distributed ledger system, from a first account corresponding to a first counterparty to a second account corresponding to a second counterparty, is erroneous; and in response to determining the judgment, executing, by a court contract of the distributed ledger system, a transfer function, configured to be responsive to the court contract, to transfer at least a portion of the quantity of tokens from the second account to the first account.

Abstract: The present disclosure relates to methods and systems for providing context aware searching using concept markers. Embodiments provide concept markers configured to facilitate the identification and refinement of relevant content associated with a query with a high degree of precision. In embodiments, in response to a user query, documents and concept markers relevant to the query are determined. The identified documents are associated with the concept markers and are ranked based on the quality of the association. Upon a user selecting at least one of the concept markers, the search results are refined in response. The refining includes re-ranking the documents based on a combination of the original query and the selected concept marker. The suggested concept markers are similarly re-ranked. The disclosed techniques provide for a high precision identification of relevant content as well as high precision refining of the search results.

Abstract: The present disclosure is directed towards systems and methods for extracting structure and headers from a body of text. This computational extraction is based on the visual and logical similarities between portions of text. Boilerplate is removed from chunks of text making up potential headers and the cleaned result is compared against other potential headers and the remainder of the body of text.

Abstract: In some aspects, a method includes extracting sentences from data corresponding to documents. Each extracted sentence includes at least one matched pair (a keyword from a first or second keyword set and an entity from an entity set). The method includes ordering the plurality of extracted sentences based on a distance between a respective keyword and a respective entity in each extracted sentence. The method includes identifying a first type and a second type of extracted sentences from the ordered plurality of extracted sentences. Sentences having the first type include keywords of the first keyword set. Sentences having the second type include keywords of the second keyword set. The method includes generating an extracted summary including at least one sentence having the first type and at least one sentence having the second type, intermixed based on a predetermined order rule set. The method includes outputting the extracted summary.

Abstract: The present disclosure is directed towards systems and methods for detecting deviations between documents and portions thereof, extracting information from text and detecting deviations between obligations. Deviations are detected by splitting sentences in two documents apart, matching sentences from the different documents and detecting deviations between the matched sentences.

Abstract: A method of detecting events in and clustering social media postings for display on a user system may include retrieving, via an application programming interface (API) of a social media system over at least one first communication network, at least one posting of the social media system; determining whether the at least one posting has content referring to a predetermined time period; upon determining that the at least one posting has content referring to the predetermined time period, determining whether the at least one posting corresponds to an existing cluster of postings related to an event; upon determining that the at least one posting corresponds to the existing cluster of postings relating to the event, storing, in at least one database on a non-transistory machine-readable storage medium, the existing cluster of postings modified to include the at least one posting; and providing, via at least one second communication network, a representation of the modified existing cluster of postings for displa

Abstract: The present disclosure is directed towards systems and methods for extracting structure and headers from a body of text. This computational extraction is based on the visual and logical similarities between portions of text. Structure is derived from a programmatic and methodic computation of similarities between header pairs.

Abstract: The present disclosure is directed towards systems and methods for detecting deviations between documents and portions thereof, extracting information from text and detecting deviations between obligations. Deviations between sentences containing obligations are detected by classifying the sentences, identifying components of the obligations and identifying differences between the obligation components.

Abstract: The present disclosure relates to systems and methods for generating contextually, grammatically, and conversationally correct answers to input questions. Embodiments provide for linguistic and syntactic structure analysis of a submitted question in order to determine whether the submitted question may be answered by at least one headnote. The question is then further analyzed to determine more details about the intent and context of the question. A federated search process, based on the linguistic and syntactic structure analysis, and the additional analysis of the question is used to identify candidate question-answer pairs from a corpus of previously created headnotes. Machine learning models are used to analyze the candidate question-answer pairs, additional rules are applied to rank the candidate answers, and dynamic thresholds are applied to identify the best potential answers to provide to a user as a response to the submitted question.

Abstract: A method of identifying and presenting accounts and postings of a social media system may include: retrieving, via at least one communication interface of the social media system, account information for a plurality of social media accounts; classifying, based on the retrieved account information, the plurality of social media accounts according to account type; ranking, based on the retrieved account information, the plurality of social media accounts according to perceived importance or influence; storing, in an account database, a representation of a subset of the plurality of social media accounts having a ranking greater than a predetermined threshold; retrieving, via the at least one API, postings of the stored social media accounts; and generating, for display on a user system, a user interface to present the retrieved social media postings for the stored accounts organized according to at least one of: account type, or ranking.

Abstract: The present invention relates to a computer-based system for supporting Product Customer Support Systems by means for parameter-free and fully unsupervised: clustering of a selected set documents (e.g., based on a query from some database) with unknown ontology (e.g., cases from Customer Support System); building a taxonomy for sets of documents with unknown ontology/taxonomy; enabling a semi-supervised tagging/navigation/recommendations for documents and cross-learning using auxiliary sources (e.g., linking other fields/metadata in Customer Support Systems such as Knowledge DataBase).

Abstract: Legal professionals often conduct online research as part of their efforts to produce documents, such as legal briefs. The present inventor recognized that online research tools and desktop applications, such as word processors, are functionally isolated from each other, forcing users to awkwardly switch between them as they work. Accordingly, the inventor devised, among other things, an exemplary toolbar that resides adjacent an active application window, such as a word processor. In operation, a user selects one or portions of text, such as a name or fact pattern, in the window, and activates the toolbar using a right-click command. Upon activation, a customizable menu is displayed, enabling the user to select from one or more listed workflow tasks and ultimately to cause an online research system to return search results based on the task and text selections.

Abstract: The present inventors devised unique systems, methods, interfaces, and software for managing and leveraging knowledge in law firms and potentially other enterprises. For example, one system provides a single user interface for researching case law for online legal research service and identifying and accessing law-firm documents.

Abstract: The present disclosure relates to systems and methods for enhanced mapping of transaction data to a target document, and for classifying line items of the mapped transaction data, using classification algorithms. Embodiments provide a system including a column mapping module to receive a target scheme specifying a target structure for the target document, receive transaction data having a source structure, and map at least one source column to at least one target column of the target columns based on application of classification algorithms to features identified from the source transaction data. The system also includes a row classification module to classify the rows of the mapped transaction data into classification categories. The system also includes a validation handler to receive validation input from a user, validating the column mapping and/or the row classification. The validating including accepting the recommendation or rejecting the recommendation and selecting a correct choice.