How is a batch defined in Relativity?

In Relativity, a batch is defined as a static set of documents split into multiple sets. This definition is important because it allows for the management and review of large datasets efficiently. When documents are batched, they can be organized in such a way that makes it easier for reviewers to work through them systematically, often in a linear fashion according to a defined workflow.

Batches are particularly useful in legal reviews and e-discovery, where a large volume of documents must be examined for relevance, privilege, or other criteria. The static nature of a batch means that once it is created, the documents within it are fixed, allowing for focused reviews without the risk of constant changes in the data set.

Understanding how batches function is key to utilizing Relativity effectively, as it helps streamline the review process, enhance productivity, and maintain consistency in how teams analyze documents.