JND AutoRedact™ Wins 2026 Relativity Innovation Award
AutoRedact recognized for delivering redaction accuracy at scale inside Relativity aiR.

AutoRedact uses both AI and deterministic rules to find and redact sensitive information like personal data or privileged content within images stored in Relativity aiR (formerly RelativityOne). Legal teams describe in plain language what needs to be redacted, iterate and test the results on sample documents in the Detector Lab, and then apply the calibrated instructions at scale across their document populations. AutoRedact also has a dedicated detector for data subject access requests (DSARs) that redacts personal and sensitive information while keeping the requesting individual's own data visible, a common and time-consuming challenge in privacy compliance. AutoRedact provides confidence levels for redactions to assist legal teams with focusing their human QC efforts and every redaction can be reviewed and adjusted before documents are produced.
"I'm incredibly grateful to our team, whose expertise and relentless testing made AutoRedact possible," said
"Innovation at JND has always meant building tools that deliver real, measurable results," said
Headquartered in
This award marks JND's second Relativity Innovation Award in three years. In 2024,
To schedule a demo of AutoRedact, contact [email protected].
About JND Legal Administration
JND eDiscovery, a RelativityOne software reseller and a division of JND Legal Administration, a Sedgwick company, is the nation's foremost legal services and settlement administration solutions provider. JND's fully-featured Relativity aiR instance and professional services team support a broad network of plaintiff and defendant law firms, corporate legal departments and government agency clients in future-proofing their eDiscovery systems. For more information, visit https://www.jndla.com/ediscovery.
Media Contact:
Joe Sexton
[email protected]

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SOURCE JND Legal Administration
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