In the latest episode of the 5 in 5 video series in Relativity aiR for Review, Michael Milicevic of CDS and Will Kelly from Relativity tackle a topic at the heart of AI in eDiscovery: data privacy and security. In five minutes, they walk through how aiR for Review balances cutting-edge AI capabilities with a strong commitment to client data protection.
Built on the trusted security posture of RelativityOne, aiR for Review leverages robust infrastructure including strong network security controls, continuous vulnerability management, and external validation. Will explains how data sent to Azure OpenAI is processed temporarily, with no persistent retention, and how Relativity’s award-winning Just in Time access model ensures only necessary access, only when needed.
But the platform’s commitment to data privacy doesn’t stop there. Relativity has taken additional steps to opt out of Microsoft’s human review and abuse monitoring programs, preserving customer confidentiality at every step. Plus, by utilizing Azure’s LLMs rather than OpenAI’s direct models, aiR benefits from cutting-edge AI enhancements without putting client data at risk.
Security isn’t an afterthought—it’s built into the very architecture of aiR for Review. From collaborative development between engineering and security teams to limited third-party data handling, aiR is designed to safeguard sensitive information from day one.
Watch now to learn how Relativity and CDS are delivering on the promise of AI, all without compromising trust.
