Staying at the forefront of eDiscovery technology is critical. Relativity aiR, leveraging advanced GPT and other cutting-edge technologies, represents the next generation of Technology-Assisted Review (TAR). Here’s how we’re harnessing this powerful tool to revolutionize the eDiscovery process:
Enhanced First-Level Review Efficiency
Relativity aiR for Review is specifically designed to streamline first-level review tasks with minimal human involvement. By automating the identification of responsive documents, key issues, and hot documents, aiR transforms the traditional review process into a more efficient and effective workflow. This next-gen TAR capability allows us to handle large volumes of data swiftly and accurately, ensuring that relevant documents are identified and categorized with precision. Relativity’s aiR for review checks all the boxes for a next-level, first-level review – better, faster, cheaper!
Multi-Issue Analysis and Prediction
One of the significant challenges in the application of machine learning to eDiscovery has been the ability to conduct multi-issue analysis and prediction effectively. With aiR, we can now deploy AI to identify documents relevant to various issues or vastly different definitions of responsiveness with minimal manual review. This advancement not only saves time but also enhances the accuracy and comprehensiveness of our reviews, allowing us to provide better insights and more strategic guidance to our clients.
Privilege Detection and Log Generation
On the near-term horizon is Relativity aiR for Privilege, which focuses on detecting privileged content and generating privilege log descriptions. This tool is designed to standardize the identification of privileged subject matter, reducing the risk of errors and ensuring that sensitive information is appropriately protected. These predictions and the various indicators of privilege can be applied across multiple datasets and in separate workspaces, allowing privilege to be identified consistently across different document populations and cases. By automating the creation of privilege logs, aiR for Privilege further streamlines the review process and enhances our ability to manage complex legal matters efficiently.
Expanding Use Cases and Driving Efficiencies
We believe that Relativity aiR will unlock new possibilities in eDiscovery, driving greater efficiencies across the board. The aiR for Review early-access program, including aiR for Privilege and aiR for Case strategy, enhances traditional review capabilities to include AI-driven identification of privilege, automatic generation of privilege log descriptions, key fact identification, and creation of document summaries. This tech-enabled approach allows our clients to get a jump start on their legal strategies, ensuring they are well-prepared and informed.
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