Abstract: An information governance system comprising a plurality of classifiers which employ cutoffs for classifying at least a portion of a population of incoming documents as documents to be retained and documents to be discarded in accordance with a corresponding plurality of pre-defined retention schedules; training apparatus for training said classifiers based on relevance inputs provided by a human information governance expert regarding a training set of documents within a universe of documents to be governed; and apparatus operative to automatically cause any classified document to be retained and subsequently discarded in accordance with its pre-defined retention schedule including discarding only documents that (a) have been classified as documents to be discarded and (b) have not been classified as documents to be retained, and to automatically cause any document which could not be classified, to be retained as gray area data until further notice.

Abstract: Systems and methods for identifying and redacting privileged information automatically in electronic discovery documents such as emails are disclosed. In reviewing documents for discovery review, some documents have both privileged and non-privileged information. Significant cost savings are achieved in conducting electronic discovery by automatically identifying and redacting privileged content while preserving non-privileged information for production.