Abstract: A method, system and product for multi-policy processing of a document, including obtaining a first policy comprising a first set of rules from a first edge device; obtaining a second policy comprising a second set of rules from a second edge device; obtaining a document comprising conditions; processing the first set of rules on the document to classify each condition in the document as allowed or not allowed by the first policy; processing the second set of rules on the document to classify each condition in the document as allowed or not allowed by the second policy; and providing an output that identifies conditions in the document that are not allowed by one of the first and second policies. The output is provided without disclosing a content of the first policy to the second edge device and without disclosing a content of the second policy to the first edge device.

Abstract: Systems and methods in support of digital document analysis receive a data file having a document containing text; determine a document classification for the document and at least one defined external consideration relating to the first document; section the first document into a plurality of sections; for each of the plurality of sections: implement a plurality of classification protocols; and generate one or more signal representations based on the document classification, the at least one defined external consideration, and the implemented plurality of classification protocols; identify one or more potential section classifications for one or more of the plurality of sections based on information relating to a training set of signal representations; determine a relative accuracy of the one or more potential section classifications for one or more of the plurality of sections; and output one or more recommended section classifications for one or more of the plurality of sections.

Abstract: Systems and methods in support of digital document analysis receive a data file having a document containing text; determine a document classification for the document and at least one defined external consideration relating to the first document; section the first document into a plurality of sections; for each of the plurality of sections: implement a plurality of classification protocols; and generate one or more signal representations based on the document classification, the at least one defined external consideration, and the implemented plurality of classification protocols; identify one or more potential section classifications for one or more of the plurality of sections based on information relating to a training set of signal representations; determine a relative accuracy of the one or more potential section classifications for one or more of the plurality of sections; and output one or more recommended section classifications for one or more of the plurality of sections.