Abstract: Systems and methods for eliminating duplicate document information and document images prior to or after coding, rekeying, using optical character recognition, searching or producing the documents. Multiple documents are identified to determine whether or not they are duplicate documents. Corresponding sample areas or points of the documents are identified and the corresponding pixels of the sample areas or points are compared to determine whether or not the pixels are identical. If no match occurs, it is determined that the documents are not identical. However, if the pixels in the corresponding sample areas or points match, a more detailed sampling process and a more complex comparison technique is utilized to confirm whether or not the documents are in fact duplicate copies. Documents that are determined to be non-duplicates may undergo a coding process or other process as required by the user.

Abstract: A data management method and system for generating and iteratively verifying accurate coding information prior to such information being implemented in a document retrieval database. In particular, a statistical sample of coded information is obtained from a document batch and comparatively analyzed to verify an accuracy rate equivalent to or greater than a predetermined quality control standard. If such sample fails to meet the predetermined quality control standard, the entire document batch is returned for recoding. The accuracy of generated coded information is iteratively verified based on a statistical sampling of an increasingly large quantity of generated coded information.