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Here are the top 5 takeaways from this episode:
Going solo requires proving your own value. Stephen emphasizes that attorneys who rely solely on a firm’s name have “borrowed value.” Going out on your own, and actually generating revenue and clients, is the real proof of marketability and professional worth.
Client quality over quantity. Early on, Stephen learned to fire bad clients: those who don’t pay, don’t cooperate, or ask you to act unethically. You can’t build a sustainable practice on a foundation of problematic clients, and protecting your license and reputation comes first.
Build your own AI workflows rather than relying on generic tools. Stephen moved away from consumer chatbots (Claude Desktop, ChatGPT) toward IDEs like Cursor and Windsurf, and built ~80 of his own MCPs (Model Context Protocol integrations). Custom-built workflows tailored to your specific practice are far more powerful and secure than off-the-shelf solutions.
AI hallucination is a context problem, not just a model flaw. Stephen explains that AI “hallucinations” happen because the model lacks the right context window and fills gaps with plausible-sounding but fabricated information. The solution is connecting AI to reliable, specific data sources (like his custom Court Listener MCP) rather than letting it guess.
Start small and don’t overspend on AI tools. Many expensive subscriptions are overkill for beginners. Stephen built a functional court case search tool for roughly 20 cents. His advice: start with a free or low-cost tier, learn the technology through hands-on experimentation, and only scale spending once you understand what you actually need.
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