Abstract: A method and system for clustering a plurality of data elements is provided. According to embodiments of the present invention, a bit vector is generated based on each of the data elements. Bit operations are used to group each data element into a cluster. Clustering may be performed by partition clustering or hierarchical clustering. Embodiments of the present invention cluster data elements such as text documents, audio files, video files, photos, or other data files.

Abstract: A method and system for performing high precision and high recall relevancy searching is provided. According to embodiments of the present invention, a relevance rule is generated based on a user model and language from within one or more relevant and non-relevant documents. A query is created based on the relevance rule wherein the query may be applied to a corpus to identify relevant and non-relevant documents. The relevance rule may be iteratively refined in order to increase the accuracy of the query. The resulting query may be used by a litigator during the discovery phase of a litigation to respond to a request for production.