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In a recent installment of the LawNext on Location series, the spotlight turned to Everlaw, an e-discovery firm headquartered just across the bay from San Francisco in Oakland. This visit involved an in-depth discussion between Bob Ambrogi, a noted legal journalist and podcaster, and AJ Shankar, Everlaw’s founder and CEO. AJ, a computer science PhD graduate from UC Berkeley, provided insights into his journey from Connecticut to the forefront of legal technology.
Shankar explained his unforeseen entry into the legal sector, which occurred when he was recruited as a technical expert in a case concerning internet operations. This experience revealed the industry’s complex, unmet needs, prompting him to delve deeper. His prior endeavor in computer vision eventually culminated in the founding of Everlaw in 2011. From inception, the company embraced a cloud-native, machine-learning-infused approach, focusing on enhancing litigation processes through improved collaboration, usability, and scalability.
Much of their conversation explored Everlaw’s distinctive strategy towards generative AI. Unlike competitors, Everlaw has integrated AI functionalities deeply within its platform, enhancing document summarization, coding suggestions, and deposition analysis, all anchored firmly in the original documents. This integration ensures users can verify AI-driven outputs, addressing common concerns regarding AI’s role in legal processes. One of the standout features, Deep Dive, launched in December, enables litigators to obtain synthesized, cited answers from complete document corpuses rapidly, exemplifying what Shankar describes as a “new era” for the discovery process.
Beyond technological advancements, Everlaw’s narrative includes its independent growth, free from private equity influences. AJ Shankar, committed to the long-term vision, underscores his deliberate absence of traditional exit strategies, prioritizing sustained innovation and service.
For those interested in experiencing the discussion firsthand, both audio and visual options are available. Listen to the conversation here or watch the video embedded.
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