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

EPISODE · Sep 29, 2025 · 54 MIN

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

from Teaching Python · host Sean Tibor and Kelly Paredes

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 music generation platform OpenAI's Real-time API for voice interactions Special Guest: Pritesh Patel.

What this episode covers

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 music generation platform OpenAI's Real-time API for voice interactions Special Guest: Pritesh Patel.Support Teaching Python

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

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How long is this episode of Teaching Python?

This episode is 54 minutes long.

When was this Teaching Python episode published?

This episode was published on September 29, 2025.

What is this episode about?

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...

Is there a transcript available for this episode?

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