Abstract: A computer-implemented method and system are provided for discovery management. The method involves specifying a set of categories; receiving a collection of records; separating the collection of records into at least a first portion of records and a second portion of records; classifying the first portion of records using supervised machine learning; and classifying the second portion of records by other than supervised machine learning. The method further involves creating a certification test set by drawing a simple random sample from the collection of records; manually labeling the certification test set by associating each record in the certification test set with a desired category for that record; and comparing the category assigned to each record of the certification test set by the classifying of the collection with the category assigned to each record of the certification test set by the manual labeling of certification test set.