Optimizing subject rights request reviews with OpenText eDiscovery solutions

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OpenText eDiscovery accelerates DSAR/SRR processing with automated personal data detection, culling, review, and redaction. AI-driven tools surface responsive content using predictive search, continuous machine learning, and TAR algorithms that reduce review costs by up to 80%. Visual dashboards help reviewers assess data faster, while automated QC ensures accurate redaction. Secure delivery workflows produce compliant, de-risked datasets for requestors. Role-based access controls and layered security protect sensitive information across cloud and hybrid environments.

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Vendor Sheet Optimising subject rights request reviews with OpenText…

Case Study Phillips Lytle LLP transforms eDiscovery practices

Case Study Automotive manufacturer fast tracks eDiscovery with OpenText …

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Vendor Sheet Optimising subject rights request reviews with OpenText…

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Case Study Automotive manufacturer fast tracks eDiscovery with OpenText …

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Vendor Sheet

Optimizing subject rights request reviews with OpenText eDiscovery solutions

Optimizing subject rights request reviews with OpenText eDiscovery solutions

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