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Winning at Trial With AI

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Manage episode 480039045 series 3321935
Content provided by Law, disrupted. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Law, disrupted or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

John is joined by Christopher Kercher, partner in Quinn Emanuel’s New York office, and Jeffrey Chivers, co-founder of litigation AI company Syllo AI. They discuss the transformative role artificial intelligence played in a recent Quinn Emanuel trial victory in Delaware Chancery Court. The case involved Desktop Metal's attempt to force Nano Dimension to complete a $183 million merger, where Nano tried to stall the deal by slow-walking regulatory approvals by the Committee on Foreign Investment in the United States until the drop-dead date for the transaction had passed. Quinn Emanuel was hired to represent Desktop Metal only six weeks before trial, requiring an accelerated approach to discovery and case preparation. The team used Syllo AI, a litigation focused product that allowed them to review and organize massive volumes of documents through natural language prompts, create timelines, tag relevant material, and identify patterns much faster than traditional methods. The Syllo platform also integrates multiple AI models that cross-check each other’s outputs while following built-in mental models of legal reasoning. During the trial, Syllo customized its tools to provide rapid privilege log and document production deficiency analysis, helping to identify gaps in the opposing side’s discovery. The team also worked with Claude, a large language model developed by Anthropic to test ideas, explore potential legal theories, and brainstorm approaches to witness examinations. Syllo and Claude helped attorneys identify relevant evidence for use in expedited post-trial briefs and suggested potential lines of questioning for depositions. Attorneys directed all AI usage, with Claude serving as a cognitive tool that amplified the legal team’s capabilities while the attorneys maintained full responsibility for all work product. AI did not displace anyone on the trial team. Instead, it complemented the attorneys' expertise, enhancing their ability to deliver strategic insights and respond effectively to case developments. It may soon become malpractice not to use AI in trial preparation.

Podcast Link: Law-disrupted.fm
Host: John B. Quinn
Producer: Alexis Hyde
Music and Editing by: Alexander Rossi

  continue reading

159 episodes

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Manage episode 480039045 series 3321935
Content provided by Law, disrupted. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Law, disrupted or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

John is joined by Christopher Kercher, partner in Quinn Emanuel’s New York office, and Jeffrey Chivers, co-founder of litigation AI company Syllo AI. They discuss the transformative role artificial intelligence played in a recent Quinn Emanuel trial victory in Delaware Chancery Court. The case involved Desktop Metal's attempt to force Nano Dimension to complete a $183 million merger, where Nano tried to stall the deal by slow-walking regulatory approvals by the Committee on Foreign Investment in the United States until the drop-dead date for the transaction had passed. Quinn Emanuel was hired to represent Desktop Metal only six weeks before trial, requiring an accelerated approach to discovery and case preparation. The team used Syllo AI, a litigation focused product that allowed them to review and organize massive volumes of documents through natural language prompts, create timelines, tag relevant material, and identify patterns much faster than traditional methods. The Syllo platform also integrates multiple AI models that cross-check each other’s outputs while following built-in mental models of legal reasoning. During the trial, Syllo customized its tools to provide rapid privilege log and document production deficiency analysis, helping to identify gaps in the opposing side’s discovery. The team also worked with Claude, a large language model developed by Anthropic to test ideas, explore potential legal theories, and brainstorm approaches to witness examinations. Syllo and Claude helped attorneys identify relevant evidence for use in expedited post-trial briefs and suggested potential lines of questioning for depositions. Attorneys directed all AI usage, with Claude serving as a cognitive tool that amplified the legal team’s capabilities while the attorneys maintained full responsibility for all work product. AI did not displace anyone on the trial team. Instead, it complemented the attorneys' expertise, enhancing their ability to deliver strategic insights and respond effectively to case developments. It may soon become malpractice not to use AI in trial preparation.

Podcast Link: Law-disrupted.fm
Host: John B. Quinn
Producer: Alexis Hyde
Music and Editing by: Alexander Rossi

  continue reading

159 episodes

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