16. A method for identifying reference documents for use in classifying uncoded documents, comprising the steps of: designating a set of reference documents that are each classified with a code; designing a set of clusters each comprising uncoded documents from a different set than the reference documents; selecting at least one uncoded document from the set and comparing the at least one uncoded document with each of the reference documents and identifying one or more reference documents that satisfy a threshold of similarity with the at least one uncoded document; a processing module to process the classification codes associated with the similar reference documents, comprising: determining a number of different types of the classification codes associated with the similar reference documents; determining one or more of a presence and absence of the similar reference documents with each type of the different classification codes; and determining a quantity of the similar reference documents for each type of the different classification codes; displaying a visual classification suggestion based on at least one of the presence and the absence and the quantity and the number of the types via a display of the at least one of the uncoded document and the similar reference documents; and receiving a classification code of one of the types for the at least one uncoded document from a human reviewer based on the suggestion, wherein the steps are performed by a suitably programmed computer.
16. A method for identifying reference documents for use in classifying uncoded documents, comprising the steps of: designating a set of reference documents that are each classified with a code; designing a set of clusters each comprising uncoded documents from a different set than the reference documents; selecting at least one uncoded document from the set and comparing the at least one uncoded document with each of the reference documents and identifying one or more reference documents that satisfy a threshold of similarity with the at least one uncoded document; a processing module to process the classification codes associated with the similar reference documents, comprising: determining a number of different types of the classification codes associated with the similar reference documents; determining one or more of a presence and absence of the similar reference documents with each type of the different classification codes; and determining a quantity of the similar reference documents for each type of the different classification codes; displaying a visual classification suggestion based on at least one of the presence and the absence and the quantity and the number of the types via a display of the at least one of the uncoded document and the similar reference documents; and receiving a classification code of one of the types for the at least one uncoded document from a human reviewer based on the suggestion, wherein the steps are performed by a suitably programmed computer. 19. A method according to claim 16 , further comprising: forming a score vector for each uncoded document and each reference document; and calculating a similarity metric between the score vectors for the uncoded documents and reference documents.