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The Geek In Review

Pablo Arredondo on CaseText's New WeSearch Tool and How the Neural Net Is Making Its Way Into Legal Information

Apr 22, 2021
Pablo Arredondo, Chief Product Officer at CaseText, discusses their innovative search tool, WeSearch, which utilizes neural net techniques to understand the concepts and meanings of legal documents. They explore potential usages, cloud-based utility acceptance, the black box issue, and the challenges of bias. The chapter also touches on the benefits and concerns of black box techniques and cloud adoption.
44:27

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • Neural networks revolutionize legal research by enabling concept-based searches and uncovering semantic similarities.
  • Cloud adoption in the legal industry is growing, but firms need to balance security concerns with the cost-efficiency and computational advantages of cloud-based tools.

Deep dives

The Power of Neural Networks in Legal Research

The podcast episode explores the use of neural networks in legal research and the benefits it offers. It highlights the ability of neural networks to transform the way we search and analyze legal information, replacing traditional keyword-based approaches. The guest, Pablo Eredondo from Case Text, discusses the process of vectorizing legal documents and how it allows for more sophisticated and accurate searches. He emphasizes that while keyword and Boolean searches still have their place, neural networks provide a more robust and efficient method for finding relevant information. The episode also delves into potential applications of the technology, such as searching brief banks, analyzing transcripts, and enhancing contract review. Overall, the episode showcases the transformative potential of neural networks in the legal industry.

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