Robert Keeling Quoted in “Defensible Validation of Relativity aiR for Review: Metrics, Methods, and Considerations”
Robert Keeling provided insight for the Relativity white paper “Defensible Validation of Relativity aiR for Review: Metrics, Methods, and Considerations,” which explores how legal teams can proactively validate generative AI performance to ensure accuracy and defensibility in document review.
The paper discusses how Relativity aiR for Review allows practitioners to measure precision, recall, and elusion before full-scale review begins, with the goal of reducing risk and building confidence in AI-driven workflows. This proactive approach can help legal teams avoid costly rework and maintain compliance with industry standards.
According to Robert Keeling, who is a member of Relativity’s Validation Workflow Panel, transparency is key to defensible AI adoption: “By giving reviewers visibility into the model’s rationale and the factors driving its prediction, aiR for Review helps ensure that final designations are grounded in both human judgment and machine-supported evidence,” Keeling said.
Robert and other members of Relativity’s Validation Workflow Panel provided important insights on industry validation considerations during the development of Relativity aiR for Review capabilities.
You can access the full white paper here.
Related people
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Robert D. Keeling
Partner, Executive Committee
