Episode 151: AI in Practice: Learning from Law & Beyond with Pritesh Patel

About this episode

Pritesh Patel discusses the implementation of AI in various industries and the importance of focusing on outcomes in AI education.

In this episode, Sean and Kelly welcome Pritesh Patel, a computer scientist specializing in AI who brings over 20 years of experience from companies like Turner Broadcasting, Walmart, and GE to his current role at Fisher Phillips law firm. Pritesh shares fascinating insights about implementing AI in knowledge-based industries, from automating his parents' frozen yogurt shop to helping lawyers transform their workflows. The conversation explores crucial concepts like the "Jobs to Be Done" framework, which emphasizes focusing on outcomes rather than getting stuck in existing processes. Pritesh explains how he approaches AI education through playfulness and intuition-building—whether that's getting Batman to sing "Twinkle, Twinkle Little Star" in ChatGPT or creating AI personalities that debate humans. The discussion touches on the importance of maintaining accountability while delegating responsibility to AI tools, the power of curiosity in adoption, and how reinforcement learning might shape the future of AI integration. Key resources mentioned: Strategyn Jobs to Be Done Framework - Tony Ulwick's innovation methodology NotebookLM - Google's AI-powered research tool Suno.ai - AI…

People in this episode

Guest: Pritesh Patel

Topics covered

• AI
• law
• knowledge-based industries
• automation
• education

Keywords

• Jobs to Be Done
• reinforcement learning
• AI tools
• curiosity

Mentioned in this episode

Products: NotebookLM, Python, Strategyn Jobs to Be Done Framework, Suno.ai

Books & works: AI in Practice: Learning from Law & Beyond, Twinkle, Twinkle Little Star

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