Everlaw, the cloud-native investigation and litigation platform, unveiled its Clustering software feature today, delivering an AI breakthrough in terms of its scale, visualization, ease of use and ability to conduct true discovery.

While Technology Assisted Review (TAR) has been sanctioned for legal teams to conduct discovery searches for digital evidence for about a decade, the promise of concept clustering has fallen short. It’s often too hard to use, can’t scale to meet today’s video, audio and text demands, and is restricted to a wheel interface that can’t drill down to single documents.

Everlaw Clustering’s new technical breakthroughs deliver on the promise of AI, allowing legal teams to sort through and understand millions of documents for full review or early case assessment (ECA). Everlaw Clustering presents findings in an intuitive visual format that encompasses both a 30,000-foot snapshot and a granular, down-to-the-document view. It uses unsupervised machine learning to group documents by conceptual similarity and generates insights without requiring any user input.  Read More