Definition AI used in electronic discovery to identify, classify, and prioritize documents in litigation and investigations—finding responsive material, flagging potential privilege, and surfacing key facts across collections far too large for page-by-page human review.
In more depth
Machine learning has been used in e-discovery longer than in most legal domains, beginning with technology-assisted review for responsiveness classification; newer generative tools add summarization, timeline building, and natural-language querying of document sets. Courts have generally accepted properly validated AI-assisted review workflows. Defensibility rests on documented process—sampling, validation, and quality control—rather than on any particular tool.
About the editor: MHSB Solutions, Research desk. MHSB Solutions is not a law firm. This glossary is educational information, not legal advice.
Educational information, not legal advice. AI terminology and tools change quickly; definitions reflect usage as of the last-updated date. For what bar associations and courts actually require of lawyers using AI, see legalaicompliance.help and consult a licensed attorney in your jurisdiction.