Founders and Futurists
AI and Legal Tech: Insights from Leo Park In this episode of Work AI, host Joshua Schoen interviews Leo Park, a seasoned professional in software development, engineering, and legal tech, with a special focus on Lex Machina. We discuss the iterative process of extracting and classifying legal data, the advantages of large language models (LLMs) in legal applications, and the importance of using refined queries and rag-based systems. The conversation delves into the current and future challenges of using LLMs in legal research and how small language models could offer efficient solutions. 00:00 Introduction to Claude's Internal Thinking Process 00:40 Meet Leo Park: A Multifaceted Professional 02:25 Journey into Legal Tech with Lex Machina 03:55 Challenges and Solutions in Legal Data Extraction 09:03 The Role of LLMs in Legal Applications 12:25 Critique of Stanford's RAG-Based System 23:59 User Interaction and UI Design in LLMs 26:03 Future of LLMs in Legal Tech 34:23 Experimenting with Fine-Tuning Models 35:18 Conclusion and Final Thoughts This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit workingitwithai.substack.com [https://workingitwithai.substack.com?utm_medium=podcast&utm_campaign=CTA_1]
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