According to the press release, the predictions generated by Casepoint’s CaseAssist technology in eDiscovery, investigations, and other document-intensive review projects eliminate the need for users to review documents that are nearly certain to be non-relevant, saving thousands of dollars in review time. Through CaseAssist Active Learning (CAL), users can choose to train a single or multiple models with no sample set requirement and CaseAssist will ensure relevant documents are prioritized for review. Whether your use case involves seeding an algorithm with known relevant exemplars or starting from a complete blank slate, CaseAssist will quickly separate the wheat from the chaff.

The post Wheat and Chaff? Casepoint Unveils AI and Advanced Analytics Technology appeared first on ComplexDiscovery.