Extract from Casey Sullivan’s article, “Introducing Everlaw’s Google Gemini Enterprise MCP Integration.” Access and analyze Everlaw case data through Gemini Enterprise for Legal while Everlaw remains the governed system of […]
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Extract from Kristy Esparza’s article, “What Legal AI Watchers See That Practitioners Don’t.” “Law is probably the hardest of all the fields of knowledge work to transform with AI.” That’s
Kristy Esparza, Relativity: What Legal AI Watchers See That Practitioners Don’t Read More »
Extract from Reveal’s article, “Reveal introduces Reveal AI: agentic eDiscovery from preservation to case development.” If you run eDiscovery through Reveal for your team, you have been working with our
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Extract from Tim Rollins article, “Unifying Data Risk Management: A 4-Step Operational Framework.” Learn how legal and security leaders are transitioning to defensible, goal-driven AI automation to streamline complex, high-stakes
Tim Rollins, Exterro: Unifying Data Risk Management: A 4-Step Operational Framework Read More »
Extract from Opus 2’s article, “Opus 2 once again selected as Best Places to Work honoree by the Kansas City Business Journal.” Recognition of the growing Kansas City team reflects the leading
Extract from Gina Jurva’s article, “AI in Ediscovery: Where It Works, Where It Exposes You.” Insights from Everlaw’s CTO, Max Christoff Everlaw Chief Technology Officer Max Christoff has a distinct childhood memory
Gina Jurva, Everlaw: AI in Ediscovery: Where It Works, Where It Exposes You Read More »
Extract from Opus 2’s article, “Opus 2 Ingenuity™ delivers the next AI advantage to the legal industry: better AI outcomes from less AI effort.” Company’s agentic AI framework helps law
Extract from KLDiscovery’s article, “KLDiscovery Announces General Availability of Nebula AI Case Explorer™, Enabling Legal Teams to Understand Their Data Faster and Reduce Downstream Review Volumes and Costs.” The new
Extract from David Horrigan’s article, “The 25th Anniversary of 9/11: A Legal Reporter (and Future Relativian) at the World Trade Center.” Editor’s Note: A version of this article first appeared
Extract from Ravi Tandon’s article, “How to Select the Best AI Model for Privilege Review and Keep Costs Low.” Nine models. A 68× cost spread. An 11-point F1 range. The