"AJ Shankar, CEO and founder of e-discovery company Everlaw, used the company's annual Everlaw Summit in San Francisco to announce that Deep Dive, a new AI tool within the company's platform that enables legal teams to ask questions across millions of documents, will reach general availability before the end of the year following a successful eight-month beta testing program. The announcement, made during Shankar's Oct. 22 keynote address, highlighted Deep Dive's ability to allow legal professionals to ask complex,"
"Deep Dive empowers legal teams of all areas to interrogate the entire corpus from day one, expediting insights and strategic fact-finding, then and throughout the lifecycle of a matter." Shankar emphasized that Deep Dive was designed specifically to reduce hallucinations by searching exclusively within the document corpus rather than relying on embedded knowledge. Answers are ranked by confidence level and supported with lists of facts and referenceable resources. When insufficient evidence exists to answer a query, the system says so explicitly rather than generating unreliable content."
Deep Dive will reach general availability before the end of the year after an eight-month beta program that processed thousands of user queries. The tool enables legal teams to ask complex natural-language questions across entire document collections, including terabytes and multiple file types. Beta results showed an average database size of 166,000 documents and successful testing on matters containing tens of millions of documents. Deep Dive searches exclusively within the document corpus to limit hallucinations, ranks answers by confidence, supports responses with facts and referenceable resources, and explicitly reports when insufficient evidence exists.
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