1. A system for propagating classification decisions, comprising: a quantity module to determine 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; a document feeder to randomly select the n quantity of the unclassified documents from a corpus for providing to the user; a receipt module to receive 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; a query generator to generate a search query from the responsive text and to identify result documents, comprising: a same search module to identify same result documents by applying inclusive search parameters to the query, by applying the search query to the corpus, and by identifying the documents that satisfy the query as the same result documents; and a similar search module to identify similar result documents from the corpus by adjusting a breath of the query by applying less inclusive search parameters and by identifying documents from the corpus that satisfy the query as the similar result documents; a propagator to automatically assign a responsive classification code to the same result documents for classification as responsive documents; the document feeder to provide the similar documents to the user and to receive a responsive classification decision from the user for at least one of the similar documents for classification as the responsive documents; and a processor to execute the modules, document feeder, query generator, and propagator.