Build Defensible Legal AI That Passes Judicial Scrutiny
Your AI outputs will face judicial scrutiny. This course makes sure they pass, using the Triple Audit Framework: a governance model you won't find taught anywhere else. Step-by-step, you'll build a complete Legal AI Governance Stack (governed workflows, audit trails, and a 30-Day Implementation Roadmap) that satisfies ABA 512, Rule 1.6, and Rule 8.4 requirements and is deployable in your practice immediately.
Lawyers everywhere are using AI. Almost none of them can prove their AI outputs are reliable, unbiased, and compliant. This comprehensive course gives you a complete Legal AI Governance Stack, the Triple Audit Framework for certifying AI output, governed workflows from intake to sign-off, a functional AI Legal Associate you build with no-code tools, and a 30-Day Implementation Roadmap you can deploy in your practice immediately.
Every session is anchored in real judicial sanction cases. The instructor is ranked Top 10 alongside Harvard, Oxford, and Berkeley. You leave with a system your managing partner can review Monday morning.
Udemy Bestselling instructor: Legal Tech and AI for Lawyers - 5,057 students, 4.3 rating. Independently ranked Top 10 Best AI Training Courses for Lawyers by Legal Tech Blog (alongside Harvard, Oxford, UNESCO, Berkeley Law AI Institute). Author, forthcoming chapter in Juris Cognita Publications academic series. Co-founded deep-tech ventures in NLP, RPA, Machine Learning, and Applied AI (clients: NHS Scotland, Citizens Advice Direct, Discovery TV Network). Created 'Julie' legal chatbot at Law Society of Scotland's Tech 4 Justice Hackathon (2016).
Practising Lawyers Lawyers already using AI tools informally who need a governed, auditable approach that passes judicial scrutiny
Legal Ops Professionals Legal ops professionals and in-house counsel designing AI workflows and firm-wide AI policies
Law Students Final-year law students preparing for an AI-governed legal profession with a competitive edge
Self-paced video course
Coming Soon
Advanced
35-40 students max (Cohort Upgrade Only)
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