Keynotes and CLE presentations that take audiences from "what exactly is a large language model?" to running one in their own work—live demonstrations, real workflows, and the ethics guardrails to deploy AI responsibly.
A structured arc that takes audiences from AI fundamentals to real-world implementation—so the knowledge actually transfers.
Every presentation begins by demystifying how large language models actually work—complex AI concepts broken into digestible explanations, so the audience understands the machine before they trust it with their work.
Real use cases of increasing complexity, demonstrated live: document drafting, discovery summaries, deposition analysis, AI-searchable legal research, and agentic workflows that complete multi-step projects.
Every presentation closes with responsible-use frameworks: verification duties, confidentiality protocols, and compliance guidance your audience can adopt the same week.
Content tailored to the room—legal audiences get casework; business audiences get operations.
Firsthand insight from a practicing Texas trial lawyer.
AI implementation across business functions.
Every presentation includes comprehensive coverage of responsible AI use, incorporating guidance from ABA Formal Opinion 512 and the NIST AI Risk Management Framework.
Bias identification and mitigation, transparency and explainability requirements, professional responsibility guidelines, human oversight design, and continuous monitoring protocols.
Data privacy and protection protocols, confidentiality safeguards for sensitive information, industry-specific compliance requirements, and risk assessment frameworks.
Conferences, CLE presentations, retreats, and corporate training—in person or virtual, with content customized to your audience.