What do "review batches" refer to in Relativity?

In Relativity, "review batches" specifically refer to collections of documents that are grouped together and assigned to reviewers to streamline the review process. This method is vital for managing large volumes of documents efficiently, as it allows reviewers to focus on a manageable subset of the data within a specified time frame. By organizing documents into batches, projects can progress more smoothly, ensuring that reviewers have clear guidelines on what to evaluate at any given time. This enhances both productivity and accuracy during the review phase of eDiscovery or litigation support.

The other options do not accurately describe review batches. For instance, while groups of data used for analytics may be relevant to the overall project, they are not the same as review batches, which have a specific function related to document review. Transformed datasets that are archived for future use do not align with the immediate task of document review, and individual documents stored for retrieval do not encompass the grouped nature of review batches.