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.
They 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
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