Abstract: A facility for insuring information currentness is described. The facility receives from a party a request to submit an invoice. In response to receiving a request, the facility tests the currentness of information to be provided by the party. The facility permits the party to submit an invoice in connection with the request only if the testing determines that the information to be provided by the party is current.

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: 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: The present disclosure is directed towards systems and methods for detecting deviations from a standard document in a document being analyzed. The inventive systems and methods include performing a first level analysis to detect portions of a standard that are identical to, similar to, deleted from, and added to a document being evaluated. A second level analysis may be applied to those portions of the standard that are similar, but not identical to, portions of the document being evaluated to assist a user in identifying similarities and differences between the two portions of text.

Abstract: The present invention provides a seeded news event clustering and retrieval system configured to first create a candidate data set of documents, second create a set of initial clusters based on nearness or duplicate similarity status, and third create an aggregate cluster by merging initial clusters with seed documents. The invention generates top-level clusters for news events based on an editorially supplied topical label or “seed” component and generates sub-topic-focused clusters based on algorithm. The system uses an agglomerative clustering algorithm to gather and structure documents into distinct result sets.

Abstract: A facility for conveying accrual amounts through an intermediary service is described. The facility permits vendors to each upload unbilled amounts for one or more matters for a client according to vendor-specific matter identifiers. The facility maps the vendor-specific identifiers for the uploaded unbilled amounts to client-specific identifiers. When the facility receives a request from the client to be you unbilled amounts for one or more matters, the facility displays to a client user the unbilled amounts for the requested matters according to the client-specific identifiers associated with the requested matters.

Abstract: The present disclosure relates to systems and methods for analyzing citationally related content and identifying, based on the analysis, a risk of impliedly overruled content. Embodiments provide for receiving case law data from a document source, for extracting a case triple that includes a first case overruling or abrogating a second case, and a third case citationally related to the second case. Features may be generated from case triple, such as natural processing language features comparing the language in the various cases of the triple, and feeding the generated features to a main classifier. In embodiments, the main classifier classifies the case triple into a class indicating the risk probability that the second case is impliedly overruled by the first case.

Abstract: In some aspects, a method includes performing optical character recognition (OCR) based on data corresponding to a document to generate text data, detecting one or more bounded regions from the data based on a predetermined boundary rule set, and matching one or more portions of the text data to the one or more bounded regions to generate matched text data. Each bounded region of the one or more bounded regions encloses a corresponding block of text. The method also includes extracting features from the matched text data to generate a plurality of feature vectors and providing the plurality of feature vectors to a trained machine-learning classifier to generate one or more labels associated with the one or more bounded regions. The method further includes outputting metadata indicating a hierarchical layout associated with the document based on the one or more labels and the matched text data.

Abstract: The present disclosure relates to systems and methods for analyzing and extracting data related to a structured proceeding, and for identifying, based on the analysis, at least one outcome associated with the structured proceeding. Embodiments provide for receiving data associated with a structured proceeding involving at least one party, the data including at least one docket entry, and analyzing, by an outcome location detector, the data to identify one or more docket entries in the at least one docket entry that are likely to include evidence of an outcome. Embodiments further include analyzing, by an outcome detector, the one or more docket entries determined to be likely to include evidence of an outcome to determine outcomes. The outcomes include at least one of a final outcome and at least one party outcome. The final outcome is associated with the structured proceeding overall, and the at least one party outcome is associated with a party of the at least one party that may have been terminated early.

Abstract: Methods and systems for providing computer-assisted guided review of unstructured data to generate a structured data output based on customizable template rules. In embodiments, an unstructured file is received, and a predefined template is selected. The predefined template includes a plurality of fields, each field corresponding to a field of the structured report. The predefined template also defines extraction rules for each field of the predefined template, and the extraction rules define parameters for identifying unstructured data relevant to the associated field. The extraction rules are applied to the unstructured file to identify data relevant to the field associated with the corresponding extraction rule, and the data identified as relevant is confirmed. Confirming the relevant data includes determining to refine the relevant data based on a condition, and modifying the extraction rule associated with the field to refine the relevant data.

Abstract: Computer systems and computer implemented methods for training a machine learning model are provided that includes: selecting seed data from an unlabeled dataset; labeling the seed data and storing the labeled seed data in a data store; training the machine learning model in an initial iteration using the labeled seed data, where the machine learning model is trained to select a next subset of the unlabeled dataset; selecting a next subset of the unlabeled dataset; computing difficulty scores for at least the next subset of the unlabeled dataset; labeling the next subset of the unlabeled data; and training the machine learning model in a second iteration using the labeled next subset of the unlabeled dataset. The machine learning model is generally trained to select the next subset of the unlabeled dataset for a subsequent training iteration by presenting the labeled next subset of the unlabeled dataset in an order sorted based on the difficulty scores.

Abstract: Methods and systems for automating execution of a workflow by integrating security applications of a distributed system into the workflow are provided. In embodiments, a system includes an application server in a first cloud, configured to receive a trigger to execute the workflow. The workflow includes tasks to be executed in a device of a second cloud. The application server sends a request to process the task to a task queue module. The task queue module places the task request in a queue, and a worker hosted in the device of the second cloud retrieves the task request from the queue and processes the task request by invoking a plugin. The plugin interacts with a security application of the device of the second cloud to execute the task, which yields task results. The task results are provided to the application server, via the worker and the task queue module.

Abstract: The present disclosure relates to systems and methods for analyzing and extracting docket data related to a structured proceeding, for identifying docket entries associated with motions and docket entries associated with orders, and for identifying motions affected by orders. Embodiments provide for receiving docket data associated with a structured proceeding, the docket data including at least one docket entry. Embodiments also include identifying, by an automated analysis, docket entries associated with motions in the structured proceeding, and docket entries associated with orders in the structured proceeding. In embodiments, identifying the docket entries associated with orders includes identifying at least one order that includes a results-affecting decision affecting at least one motion. Embodiments further include linking, by the automated analysis, the affected at least one motion to the affecting order.

Abstract: The present disclosure includes systems, apparatuses, and methods for event identification. In some aspects, a method includes receiving data including text and performing natural language processing on the received data to generate processed data that indicates one or more sentences. The method also includes generating, based on a first keyword set, a second keyword set having more keywords than the first keyword set. The method further includes, for each of the first and second keyword sets: detecting one or more keywords and one or more entities included in the processed data, determining one or more matched pairs based on the detected keywords and entities, and extracting a sentence, such as a single sentence or multiple sentences, from a document based on the one or more sentences indicated by the processed data. The method may also include outputting at least one extracted sentence.

Abstract: A method includes receiving an initial electronic file where the initial electronic file is associated with a work product. The method further includes resolving, automatically, an electronic file content type associated with the initial electronic file and executing, automatically, at least one subscription program associated with the electronic file content type of the initial electronic file. The method further includes retrieving an enhanced electronic file based on a matter security level. The enhanced electronic file is associated with an indication of completion of the at least one subscription program. Another embodiment includes extracting a set of metadata from the initial electronic file and storing the set of metadata from the initial electronic file in a memory. Yet another embodiment includes populating, automatically, at least one field within a field-oriented electronic file from the set of metadata.

Abstract: Systems and technologies for providing an on-demand personalized news program are disclosed. The system and technologies allow an end user to create a news program that best matches the end user's tastes and preferences. To achieve this, one aspect of the disclosure relates to systematic personalization. Systematic personalization involves determining an end user's interests based on an assessment of user behavior as it relates to accessible content. The personalization process may also provide content to users that have been editorially curated.

Abstract: The present disclosure is directed towards systems and methods for evaluating and classifying data, which comprises receiving a first signal associated with a set of user defined categories and a second signal associated with a first set of one or more data items to be analyzed. The set of categories are presented on an interface and each of the data items are to be analyzed are presented on a tile overlay on the interface. A first swipe identification signal identifying a first category to apply to a first data item and a second swipe identification signal identifying a second category to apply to a second data item are received. Based upon the swipe identification signals, a first record associating the first data item with the first category and a second record associating the second data item with the second category are generated and stored in a memory.

Abstract: The present invention is directed towards systems and methods for conducting legal research across multiple jurisdictions, which comprises receiving a first user search query at a graphical user interface comprising one or more search terms, executing the first search query against a first jurisdictional database and identifying one or more search results that are responsive to the first search query. Upon receiving a selected search result, a modified search query is generated comprising the one or more search terms of the first search query and one or more relevant terms from the selected search result and is executed against a second jurisdictional database. One or more secondary search results that are responsive to the modified search query are identified and then presented at the graphical user interface.

Abstract: To facilitate legal research, companies, such as Thomson West provide subscription-based (pay-for-access) online information-retrieval systems. Seeking to improve these and related systems, the present inventors recognized researchers often need to access open web content that is outside their subscription-based system. Accordingly, the present inventors devised systems, methods, and software that automatically search for and identify open web documents in response to queries within the subscription-based system and/or automatically search for and identify pay-for-access content in response to receiving open web queries.