How can you find documents that are conceptually similar to the document you are currently reviewing?

Finding documents that are conceptually similar to the one being reviewed can be effectively accomplished by using the feature that allows you to view similar documents directly within the document viewer. This approach leverages the underlying algorithms and analytics designed to compare the content of your current document with the rest of the dataset. By clicking the button to view similar documents, the system employs advanced analytics to identify and retrieve documents that share similar themes, topics, or contexts.

This method is efficient as it typically uses the system's built-in conceptual analytics capabilities. It streamlines the process of navigating through large volumes of documents, allowing for a more focused review on related materials that may provide additional insights or context relevant to your current work.

In contrast, while highlighting a paragraph and using the conceptual analytics index might allow for a more manual search for similarity, it could be less efficient and comprehensive. Running a dtSearch based on the most relevant phrase focuses on exact matches or keyword searches rather than conceptual relevance. Similarly, using the Related Items pane may help find near-duplicate texts but lacks the broader conceptual analysis that the similarity viewing feature provides, potentially missing out on documents that are conceptually relevant but not textually identical.