What is one key feature of 'Technology-Assisted Review' supported by Brainspace?

Technology-Assisted Review (TAR) is designed to enhance and streamline the data review process, making it more efficient and accurate. One of the most significant features of TAR is its ability to reduce the need for extensive manual review processes. By leveraging advanced algorithms and machine learning techniques, TAR can analyze large volumes of data quickly, identify relevant documents, and prioritize them for human review. This automation allows legal and compliance teams to focus their efforts on the most crucial evidence while significantly speeding up the overall review process.

In contrast, options focusing solely on document archiving or increasing draft submission frequency do not encapsulate the innovative intent of TAR. While augmented data sorting may sound relevant, it does not accurately reflect the transformative impact TAR has in reducing manual handling of data for review purposes. The emphasis of Technology-Assisted Review lies in optimizing workflows and minimizing the reliance on traditional, time-consuming manual review methods.