Episode 151: AI in Practice: Learning from Law & Beyond with Pritesh Patel
Pritesh Patel shares his journey from AI research at Georgia Tech to transforming workflows in law firms and beyond, discussing how education principles, playful learning, and focusing on outcomes over process can help anyone adopt AI effectively in their work.
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Show Notes
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.