What feature within RelativityOne allows for automated document review?

The choice of Continuous Active Learning (CAL) as the feature that allows for automated document review is spot on. CAL is a machine learning technology integrated into RelativityOne that enhances the efficiency and accuracy of document review processes. By learning from user interactions, it refines the review process, allowing users to prioritize the most relevant documents based on previous judgments. This capability significantly reduces the manual effort required by reviewers and improves the overall speed of the review cycle.

The other features, such as Document Management System (DMS), serve purposes related to organizing and storing documents efficiently, but they do not directly engage in the automation of document review. Similarly, the collaboration tool facilitates communication and teamwork among users but does not automate the review process itself. User Activity Logging focuses on tracking actions within the platform, which is crucial for auditing and compliance but does not contribute to automating document review tasks. Thus, CAL stands out as the unique solution for automating the review process effectively.