Course Content
Module 1: Ethical Risk Landscape & Professional Duties
Welcome & How to Use This Course The Ethical Risk Landscape in Legal AI Professional Duties When AI Is Involved Module 1 Knowledge Check (Self‑Check)
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Module 2: Supervised Use, Documentation & Verification
What “Supervised Use” Means (and Why It Matters) Documentation & Communication: Make AI Reviewable Verification Techniques for AI‑Assisted Legal Work Module 2 Knowledge Check (Self‑Check)
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Module 3: Avoiding Unauthorized Practice of Law
Avoiding Unauthorized Practice of Law (UPL) in the Age of AI UPL Boundary Spectrum: Safe Tasks vs. Legal Advice Prompting With Role Guardrails (Templates You Can Reuse) Module 3 Knowledge Check (Self‑Check)
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Module 4: Confidentiality & Handling Sensitive Outputs
Confidentiality, Privilege & Data Privacy: Safe Inputs Handling Sensitive Outputs: Review, Redaction, Storage Incident Response & Vendor Due Diligence Module 4 Knowledge Check (Self‑Check)
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Module 5: Scenarios, Checklists & Continuous Improvement
Scenario Lab: Ethical Decision‑Making With AI Quick Reference Cards: Checklists You Can Use Immediately Implementation Playbook: Policy, Training, Governance Wrap‑Up, Resources & Final Assessment
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AI Ethics for Legal Professionals

Implementation Playbook: Policy, Training, Governance

Ethical AI use is easier when the team has clear rules, approved tools, and repeatable workflows.

A lightweight AI policy starter (outline)

  1. Approved tools list (and prohibited tools)
  2. Data rules: what can/can’t be entered
  3. Risk tiers: which tasks require attorney sign‑off
  4. Documentation: what must be logged
  5. Verification: minimum checks by task type
  6. Incident response: who to notify and how

Training plan (minimum viable)

  • Short onboarding: “AI basics + top 10 red flags”
  • Quarterly refresher: new tools/policy updates
  • Scenario drills (like the Scenario Lab lesson)

Governance loop

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AI governance cycle diagram inspired by NIST AI RMF: Govern, Map, Measure, Manage
A simple governance loop for AI tools: set rules, map use cases, measure performance, and manage risks.

Tip: Keep an “AI incidents & lessons learned” log. Even minor issues help refine prompts, templates, and policy.

Activity: pick 3 rules your team will adopt

Choose three rules you can implement this week. Example:

  • No public AI tools for matter-related work.
  • All AI-assisted citations must be independently verified.
  • Client-facing outputs require attorney sign-off.