How AI Transforms Document Review in eDiscovery
AI-powered document review in eDiscovery uses machine learning and natural language processing to analyze large volumes of electronically stored information, classify documents by relevance, privilege, and responsiveness, and surface the most significant content for human review. It reduces the time and cost of first-pass review dramatically while improving consistency across document sets that no human team could process at the same speed or scale. That is the case for AI in eDiscovery in one paragraph. The fuller picture is more nuanced. Document review has historically been the most expensive phase of litigation and regulatory response. In large matters, review costs routinely account