By easily eliminating groups that have no business or regulatory value, content collections can be dramatically reduced. Groups that remain can have granular retention policies applied, be kept under appropriate access restrictions, and can be assigned business unit owners. Plus of course, the document-type labels can greatly assist users trying to find specific documents.
Visual classification is persistent. This means that as new documents are processed, the same decisions that were made about the initial documents are extended to the new documents. At some point the process reaches convergence and the documents being processed all fall into groups that have been previously examined.
Because the documents have been grouped by visual similarity, users can use zonal attribute extraction technology to identify and extract attributes that are apparent on the face of the documents: