28. A method according to claim 24 , further comprising: determining a total expected number of the responsive documents in the corpus based on a number of the responsive documents and a total number of documents in the corpus; and providing the unclassified documents to the user for review until the total expected number of responsive documents is satisfied.
24. A method for propagating classification decisions, comprising: receiving from a user, text marked within one or more unclassified documents that is responsive to a predetermined issue, wherein the one or more unclassified documents are selected from a corpus of unclassified documents; generating a search query from the responsive text; identifying same result documents, comprising: applying inclusive search parameters to the query; applying the search query to the corpus; and identifying the documents that satisfy the query as the same result documents; identifying similar result documents from the corpus, comprising: adjusting a breath of the query by applying less inclusive search parameters; and identifying documents from the corpus that satisfy the query as the similar result documents; automatically assigning a responsive classification code to the same result documents for classification as responsive documents; providing the similar documents to the user and receiving a responsive classification decision from the user for at least one of the similar documents for classification as the responsive documents; and providing a number of the unclassified documents remaining in the corpus for further review, wherein the number of remaining unclassified documents for further review is determined in accordance with the equation: M = x b where b is an upper bound value representing a percentage of the unclassified documents remaining in the corpus that are responsive and x is an integer that is determined based on a desired confidence level that all the responsive documents are identified.