Abstract: The disclosed computer-implemented method for enabling search services to highlight documents may include (1) creating, via an internal search service, a highlight index that comprises an analyzer for at least one type of document, (2) receiving a search query configured for an external search service and a document that is of the type and that comprises a search result for the search query, (3) querying the highlight index in order to retrieve the analyzer for the type of document from the highlight index, and (4) sending the analyzer, the document, and the search query to a search service in order to enable the search service to display at least one highlighted string extracted from the document via the analyzer, wherein the highlighted string originates from the search query. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: The disclosed computer-implemented method for culling search results in electronic discovery may include (1) identifying a data source that is subject to electronic discovery in connection with a lawsuit, (2) mining metadata of a plurality of files within the data source to generate metadata derivatives that describe non-content-based attributes of the files, (3) creating an index that groups the files into a plurality of categories representative of the metadata derivatives, (4) receiving, from a user involved in the electronic discovery, user input that specifies a subset of the categories within the index and a keyword, (5) searching the subset of categories within the index for a subset of the files whose contents include the keyword, and (6) providing, to the user, a result of the search that identifies the subset of files whose contents include the keyword. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: The disclosed computer-implemented method for expanding relevant search results in electronic discovery may include (1) creating a file-participant cluster that links a file within a data source to a set of participants that had interactions with the file, (2) determining that the file-participant cluster exceeds a threshold level of similarity relative to another file-participant cluster, (3) merging the file-participant clusters into a merged file-participant cluster that identifies files and participants linked by the file-participant clusters, (4) receiving, from a user involved in electronic discovery, a query to search the data source for files that match one or more search parameters, and then in response to receiving the query, (5) determining that the file linked by the file-participant cluster matches the search parameters, and (6) providing, to the user, a search result that identifies the merged file-participant cluster.

Abstract: The disclosed computer-implemented method for enabling search services to highlight documents may include (1) creating, via an internal search service, a highlight index that comprises an analyzer for at least one type of document, (2) receiving a search query configured for an external search service and a document that is of the type and that comprises a search result for the search query, (3) querying the highlight index in order to retrieve the analyzer for the type of document from the highlight index, and (4) sending the analyzer, the document, and the search query to a search service in order to enable the search service to display at least one highlighted string extracted from the document via the analyzer, wherein the highlighted string originates from the search query. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: The disclosed computer-implemented method for expanding relevant search results in electronic discovery may include (1) creating a file-participant cluster that links a file within a data source to a set of participants that had interactions with the file, (2) determining that the file-participant cluster exceeds a threshold level of similarity relative to another file-participant cluster, (3) merging the file-participant clusters into a merged file-participant cluster that identifies files and participants linked by the file-participant clusters, (4) receiving, from a user involved in electronic discovery, a query to search the data source for files that match one or more search parameters, and then in response to receiving the query, (5) determining that the file linked by the file-participant cluster matches the search parameters, and (6) providing, to the user, a search result that identifies the merged file-participant cluster.

Abstract: The disclosed computer-implemented method for culling search results in electronic discovery may include (1) identifying a data source that is subject to electronic discovery in connection with a lawsuit, (2) mining metadata of a plurality of files within the data source to generate metadata derivatives that describe non-content-based attributes of the files, (3) creating an index that groups the files into a plurality of categories representative of the metadata derivatives, (4) receiving, from a user involved in the electronic discovery, user input that specifies a subset of the categories within the index and a keyword, (5) searching the subset of categories within the index for a subset of the files whose contents include the keyword, and (6) providing, to the user, a result of the search that identifies the subset of files whose contents include the keyword. Various other methods, systems, and computer-readable media are also disclosed.