In an effort to maximize DITA reuse potential, Stilo added exact-match deduplication to the latest release of its well-established cloud service. Migrating documentation to DITA has many benefits, chief among them being the opportunity to reduce cost and improve quality by reusing content. A documentation set might have reuse potential as high as 50%, however, finding good reuse candidates may prove to be difficult, especially when dealing with thousands of topics. Hence the need for automation. The first step in the deduplication process is for the user to take the newly created DITA files and put them into a collection. At this point, the automated system compares each topic against the others in that collection. Once redundancies are identified, the system selects the canonical version, automatically eliminates redundant copies, and then updates topics and associated maps.