Which feature is used to identify documents that are correlated conceptually to the current document?

The feature that is used to identify documents that are correlated conceptually to the current document is "Find similar documents." This functionality utilizes advanced algorithms that analyze the text within documents, looking for similarities based on language, themes, and context rather than just exact word matching. The aim is to uncover documents that may discuss related topics or have similar ideas, which is invaluable in legal and project management contexts where understanding the broader context of documents can lead to more informed decisions and a comprehensive review process.

In comparison, other features serve different purposes. Textual near duplicates focus on identifying documents that are largely the same in terms of wording, while keyword expansion aims to broaden a search based on identified keywords. Relativity Compare allows users to highlight differences between two versions of a document rather than identifying conceptually similar documents. Therefore, "Find similar documents" stands out for its ability to surface relevant but not identically-worded documents that share conceptual relevance to the document in focus.