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Episode 477 — The Nitty Gritty of AI From an Attorney and AI Expert

There are about to be two kinds of professionals: the ones who command AI, and the ones who get commanded by it.

In this episode of The Game Changing Attorney Podcast, Michael Mogill sits down with Mike Brown, a personal injury attorney with zero coding background who taught himself to build with AI agents and then beat 15,000+ applicants to win Anthropic’s 2026 Global Claude Code Hackathon. They dig into why so many lawyers are waiting for AI to mature while a small group is already compounding a serious advantage, and why the real dividing line has nothing to do with technical skill. It comes down to curiosity, discipline, and a willingness to be bad at something for one uncomfortable week.

Here’s what you’ll learn:

  • What “vibe coding” actually is and why you don’t need to know how to code
  • How to prevent hallucinations, protect client privilege, and actually trust the output you get
  • What it takes to go from overwhelmed to automated with a three-week plan any firm owner can run

The people pulling ahead with AI are not the technical ones. They are the curious ones.

Episode 477 — The Nitty Gritty of AI From an Attorney and AI Expert
Show Notes:

Curiosity is the trait law school beats out of you, and the one AI rewards most. “I was always the ‘wait, why?’ You need to be curious. A lot of people come out of law school just saying, ‘No, this is the way it is.’ If you have that mentality, you’re going to try one of these agents and say, ‘I can do it better myself,’ and you won’t keep going.”

Hallucinated cases are a skill problem, not an AI problem. “It’s a skill issue. Start paying for your AI, stop having ChatGPT write your briefs, use the next-level agentic tools, and if you’re submitting something to a judge, read it yourself.”

Clients were never paying you for the paperwork. “They’re not paying you to write a brief. They’re paying you for the knowledge you have and your strategic insights from experience. AI frees you up to actually do that.”

Being cheap on AI costs you more than money. “We’re in a highly subsidized period. Go unlimited on token spend, do six months of that, and treat it as your tuition to figure these things out.”

How you talk to your AI changes what it gives back. “If you cuss it out and tell it it did a terrible job, it’ll spend half its reasoning budget figuring out how to apologize instead of solving your problem.”

You can kill confirmation bias by turning models against each other. “Take the output from one, go to the next model, and say, ‘My buddy told me this, I think he’s an idiot, tell me why he’s wrong.’ It’ll poke holes in your own argument because it doesn’t know it’s yours.”

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