the most important AI use cases of an enterprise today, document comparison ranks alongside conversational chatbots. Organizations spend a vast number of person-hours comparing contracts, policies, technical specifications, legal petitions, research papers and many more to identify differences, risks, revisions and semantic inconsistencies. However, document comparison is far more complex than traditional text difference. For one, these tools are meant to be effective assistants to legal and commercial professionals, scientists and others who expect the analysis to be at the level of depth and language as can be expected from a junior professional in the domain. An even harder problem is that meaning in enterprise documents usually isn’t contained in isolated chunks. It is embedded within sections, hierarchies, clause groupings and relationships. And these sections may be scattered across multiple pages of a document spanning over a 100 pages.…