Think of this as a checklist to see whether your eDiscovery software is a true legal “co-pilot” or just a smarter search bar. A truly intelligent platform doesn’t just find keywords; it understands documents, people, and issues, and helps you prioritize what matters most in a case.
Legal teams often buy “AI-powered” eDiscovery tools that in reality only provide basic keyword or concept search. This guidance helps firms and corporate legal departments distinguish shallow AI-from-search tools from genuinely intelligent eDiscovery platforms that can reduce review cost and time, improve accuracy, and better manage litigation risk.
Deep legal-domain workflows and labeled review data, combined with tight integration into eDiscovery processes (collection, processing, review, production), create a workflow and data moat that is hard for generic AI tools to replicate.
Hybrid
Vector Search
Medium (Integration logic)
Context window cost and vector search latency as data volumes grow into tens or hundreds of millions of documents.
Early Majority
Positions “true intelligence” in eDiscovery as going beyond simple search to include richer analytics, AI-assisted review, and deeper understanding of case context; emphasizes integrated, domain-specific AI rather than bolt-on generic search features.