10. A method for propagating classification decisions, comprising: determining a quantity of unclassified documents for review by a user, wherein the quantity of the unclassified documents is determined in accordance with the equation: n = z 2 ⁢ pq E 2 where z is an abscissa of the normal curve, E is a desired level of precision, p is a probability that an unclassified document includes responsive text, and q is a probability that the unclassified document fails to include responsive text; randomly selecting the n quantity of the unclassified documents from a corpus for providing to the user; receiving from the user, text marked within one or more of the randomly selected n quantity of the unclassified documents that is responsive to a predetermined issue; 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; and 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.
11. A method according to claim 10 , further comprising: selecting further unclassified documents from the corpus based on a similarity of each of the further unclassified documents to the responsive text.