Abstract: A disclosed computer-implemented method for displaying search results may include (1) receiving a query to search a document database that stores a document family containing a parent document and a child document embedded within the parent document, (2) in response to receiving the search query, identifying (a) an individual relevance score that quantifies the relevance of the parent document to the search query and (b) a family relevance score that quantifies the overall relevance of the entire document family to the search query, and (3) simultaneously depicting both the individual relevance score and the family relevance score in response to the search query. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: A computer-implemented method for expanding search results may include (1) determining that a user is attempting to perform a search, (2) presenting an option to the user to include, within results of the search, a document family associated with a found document, (3) determining that the user has selected to include the document family associated with the document, and (4) including the document family in the search results in response to determining that the user has selected to include the document family associated with the document. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: An exemplary predictive coding system can be programmed to update a plurality of training documents based on a portion of a training document selected by a user. The predictive coding system generates a machine learning engine based on the updated plurality of training documents. The predictive coding system predicts a classification for one or more remaining documents from the plurality of training documents using the machine learning engine.