What does sorting by 'Textual Near Duplicate Similarity - Descending' achieve in a view?

Sorting by 'Textual Near Duplicate Similarity - Descending' in a view prioritizes documents with the highest similarity scores first. This method is useful in document review and analysis because it enables users to quickly identify and focus on documents that are most similar to others in the dataset. By presenting the most similar documents at the top, it facilitates a more efficient review process, allowing for quicker assessments and comparisons among closely related documents.

In contrast, other sorting methods would provide different insights or organize information in a manner that may not emphasize similarity. For example, sorting documents from least similar to most similar would not help in identifying highly relevant documents upfront. Grouping documents with no similarity together or arranging them alphabetically by title are approaches that do not serve the purpose of highlighting textual similarities, which is the primary intent of using a similarity score.