Abstract: Systems and methods generate hierarchical displays of search results from a document corpus or documents. The hierarchical displays include parent nodes and children nodes. The parent nodes identify broader concepts and children nodes identify narrower concepts. Concepts can be terms of art, areas of law, or the like. Hierarchical displays may be modified to add or remove nodes. Analysis tools may provide metrics for assessing a document corpus, search query, or search results.

Abstract: A method includes receiving, at a computing device, an electronic document, wherein the electronic document is a legal brief comprising a plurality of paragraphs; identifying one or more argument paragraphs from among the plurality of paragraphs, wherein each of the one or more argument paragraphs includes one or more legal arguments; performing a textual search of a corpus of legal documents based on a selected set of the identified argument paragraphs; performing a semantic search of the corpus of legal documents based on the selected set of the identified argument paragraphs; combining results of the textual search and the semantic search; and presenting the combined results to a user.

Abstract: Systems and methods to identify potential material fact sentences in electronic legal documents obtained from electronic repositories are disclosed. A system includes a processing device and a storage medium in communication with the processing device. The storage medium includes programming instructions that cause the processing device to obtain a document and parse text within the document to determine whether each paragraph in the document is a fact paragraph, a discussion paragraph, or an outcome paragraph based on at least one of a heading associated with the paragraph and features of the paragraph. The storage medium further includes programming instructions that cause the processing device to extract each sentence in the fact paragraph, direct a trained sentence classifier to determine whether each sentence is a potential material fact sentence or a non-material fact sentence based on features of the sentence, and identify potential material fact sentences.

Abstract: Systems and methods to identify potential material fact sentences in electronic legal documents obtained from electronic repositories are disclosed. A system includes a processing device and a storage medium in communication with the processing device. The storage medium includes programming instructions that cause the processing device to obtain a document and parse text within the document to determine whether each paragraph in the document is a fact paragraph, a discussion paragraph, or an outcome paragraph based on at least one of a heading associated with the paragraph and features of the paragraph. The storage medium further includes programming instructions that cause the processing device to extract each sentence in the fact paragraph, direct a trained sentence classifier to determine whether each sentence is a potential material fact sentence or a non-material fact sentence based on features of the sentence, and identify potential material fact sentences.

Abstract: Systems and methods for ranking a plurality of documents based on user activity are disclosed. A method includes receiving first user activity data and second user activity data. A first user activity point value is associated with the first user activity. A second user activity point value is associated with the second user activity. The method further includes identifying a first data item based on the first user activity data, identifying a second data item based on the second user activity data, updating a first score of the first data item based on the first user activity point value, updating a second score of the second data item based on the second user activity point value, identifying the plurality of documents based on the first data item and the second data item, and ranking the plurality of documents based on the first score and the second score.

Abstract: Systems and methods create a graphical representation of a research map that allows performance of search functions using the nodes of the graphical representation. In one implementation, a system includes a processor and a memory. The memory stores instructions that cause the processor to receive a query for searching a document repository and run the query in the document repository. The processor stores the results of the query and the query as a root node in a research tree. The processor receives a filter for the results of the query. The processor stores the filter and the result list for the filter as a filter node connected to the root node of in the research tree. The processor receives a request to view a document from the result list for the filter and stores the request as a document node connected to the filter node. The processor then creates a display of a research map that includes the research tree.