Robert helps attorneys and medical practices use today’s most capable AI models well. With hands-on experience drafting clinician waivers and litigation briefs at the intersection of law and medicine, Robert guides teams through the noise, teaching what the smartest models are good at, where they fail, and how to structure AI-assisted work so it’s fast, defensible, and ready for professional scrutiny.

Robert’s approach is model-agnostic and results-first. He pairs clear explanations with practical implementation and works directly with lawyers and doctors, either educating their teams or performing the analysis and co-drafting alongside them.

What Robert does

• AI strategy & model selection — Cuts through hype to recommend the best current models for your tasks, explaining capabilities, limitations, and trade-offs in plain English.

• Workflow & prompt engineering — Designs step-by-step checklists that improve accuracy, reduce hallucinations.

• Document generation & analysis — Informed-consent/waiver templates, briefs, memos, research syntheses, deposition prep outlines, structured for human review with transparent assumptions and citations.

• Medical-legal research synthesis — Combining the two greatest strengths of the models for deep insight: big data in, clear answers out—combining broad recall with rigorous logic.

• Team training — Case-based workshops for attorneys, clinicians, and staff on getting the best from top-tier models while avoiding common pitfalls.

How it’s different

• Model-agnostic, outcome-driven — Recommendations evolve with the intelligence landscape; the goal is your result, not brand loyalty.

• Built for defensibility — Clear reasoning, cited authorities, version control, and review checkpoints that stand up to deposition and peer review.