What does the 'Batching' feature in Relativity primarily help with?

The 'Batching' feature in Relativity is primarily designed to organize documents for review. This functionality allows users to group documents into manageable sets or batches, facilitating a more organized and systematic review process. By creating batches, reviewers can work on a specific subset of documents at a time, which helps in maintaining focus and efficiency throughout the review workflow.

This is particularly beneficial in large-scale document reviews, where handling thousands of documents at once could be overwhelming. Batching aids in distributing documents among multiple reviewers, streamlining the overall review process, and ensuring that all documents are systematically addressed.

The other options like enhancing the user interface, searching for specific documents, and tracking user activities do not accurately reflect the primary purpose of the Batching feature, as those functionalities are typically handled by other tools or features within the platform.