1. A computer-implemented method for characterizing content of documents by conceptual relationships, comprising: applying natural language processing (NLP) to content in a plurality of documents to identify topics and subjects; applying analytic analysis to the topics and subjects to identify a conceptual relationships of the content in the plurality of documents; partitioning the content in each of the plurality of documents into a first structured hierarchy, preserving at least one structure in each document inherent in the each document; and providing access to content through a first index based upon utilizing the first structured hierarchy and through a second index utilizing a second structured hierarchy.