In which scenarios can the Pivot feature be applied within Relativity?

The Pivot feature in Relativity is designed to be employed on subsets of documents and search results, making it a powerful tool for analyzing and visualizing data. This functionality allows users to aggregate and segment data based on different criteria, providing insights that can help guide review decisions or highlight significant patterns in the dataset.

By applying the Pivot feature to subsets and search results, users can drill down into specific documents of interest, identify trends, or focus on particular issues relevant to their case. This capability is essential for efficiently managing large volumes of data, as it facilitates informed decision-making without having to sift through every document individually.

The other scenarios outlined do not accurately represent the flexibility of the Pivot feature. It is not limited to completed reviews or just the project summary, nor can it only be applied to all available documents. The strength of the Pivot feature lies in its ability to provide targeted insights based on subsets and specific search criteria, thereby enhancing the overall efficiency and effectiveness of the review process.