February 2026, Part 1, Top 5 Takeaways:
1. Use the Latest, Most Capable Models.
Don’t default to cheaper models to save costs. Damien Riehl emphasized that premium models like Claude Opus 4.6 are actually more cost-effective because they produce better results with fewer iterations and tokens. Time is your most valuable asset—invest in the best tools.
2. Match Different Models to Different Tasks.
The panel consensus: different AI models have distinct strengths. Claude excels at coding and writing, Gemini is best for reasoning, ChatGPT offers extensive token limits. Power users should develop a toolkit approach, choosing the right model for each specific task rather than relying on a single solution.
3. Subject Matter Expertise > Technical Skills.
With tools like Claude Code, you no longer need a technical co-founder to build software. The barrier to creating custom solutions has collapsed. If you understand your domain and can articulate what you need, AI can help you build it. Your legal expertise is now your most valuable technical asset.
4. Adopt Intentional, Experimental Practices.
Cat Moon’s closing advice resonated: approach AI with both optimism and skepticism. Test tools deliberately, use red-teaming techniques to validate outputs, and make intentional choices rather than blindly adopting technology. Nothing about AI’s impact on law is inevitable—lawyers still have agency in shaping how these tools are used.
5. The Legal AI Landscape is Rapidly Evolving.
General-purpose tools like Claude are now performing tasks (document organization, Bates stamping, discovery responses) that specialized legal AI tools struggle with. The gap between consumer and professional AI is narrowing quickly, and staying current requires constant experimentation and willingness to adapt your workflow.
