Most professionals are overlooking a secret weapon that’s transforming workflows and legal practices faster than anyone expected. Mike Brown reveals how a solo lawyer turned AI hobbyist beat out 500 engineers at a high-stakes hackathon—and how this level of creative problem-solving can unlock your team’s potential today.

Starting from scratch, Mike’s curiosity and strategic experimentation with open-source AI tools reshaped his legal practice and built a new frontier in legal tech. He shares concrete tactics—like dedicating just one week to mastering prompting or building modular plans that make complex projects manageable—that anyone can apply now. You’ll discover how to leverage AI as an extension of your reasoning, rather than just a search engine, and how to avoid common pitfalls like token constraints and over-reliance on static models.

In this episode:

The story behind a lawyer winning a top AI hackathon with minimal coding experience
How curiosity, strategic prompts, and optimizing workflows accelerate AI adoption
The importance of context engineering and planning in AI projects
Practical tips for legal professionals to learn AI fast, including a one-week crash course
Why model upgrades like Opus 4.7 can dramatically boost productivity overnight
Managing sensitive data and confidentiality when working with AI-driven legal workflows
The future of law firms and legal teams in a world increasingly driven by AI and automation
Quick tips on integrating voice tools like Wisprflow into daily legal practice

Timestamps:
00:00 - The defining moment: How a lawyer beat 13,000 applicants at a hackathon
02:48 - What is Cursor? A straightforward guide for non-developers entering AI-driven workflows
04:14 - Creative backgrounds fueling AI exploration — from Hollywood to law
05:43 - Overcoming the learning curve in AI — a disciplined one-week challenge
07:19 - Building skills with prompt engineering — turning prompts into productivity tools
09:14 - The exponential improvements in AI models — what today’s upgrade means
11:11 - Handling complex projects: from blueprints to AI vision processing
13:39 - The California permit system problem — using AI to cut permit delays
15:57 - Managing token limits and context: technical tips from a seasoned AI builder
19:22 - The impact of new model drops on projects — building for the future, not today
20:36 - Voice productivity tools — Whisper Flow and voice mode in AI workflows
22:38 - Planning your AI projects like a lawyer — IRAC prompts and adversarial prompting
25:15 - How AI might reshape legal team structures and company management
33:03 - Maintaining human agency in AI-powered days: asset or risk?
34:21 - Favorite AI tools — Wisprflow and Claude Code
35:08 - Tasks ripe for automation — focus on what makes you uniquely human
37:28 - Common AI mistakes: The trap of "locking in" on current models
38:46 - Building a future-proof legal skillset: prompt mastery and context management
39:52 - Starting today: passions + low-stakes AI experiments as growth strategies
40:58 - Connect with Michael T. Brown: LinkedIn & ongoing projects