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

What “Supervised Use” Means (and Why It Matters)

In legal practice, supervision is not optional. AI can speed up work, but it can also amplify mistakes if no one is clearly accountable.

The supervision principle (plain‑English)

Supervision means: a qualified human reviews the AI‑assisted work, verifies key claims, and takes responsibility for the final output.

For non‑attorney staff, the goal is to make attorney review easy and defensible—by documenting what you did and what you verified.

A workflow you can reuse

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Supervised AI workflow flowchart for legal teams
A practical workflow that keeps humans accountable and reduces common AI risks.

Key idea: The workflow is designed to prevent two failures: (1) using the wrong tool with the wrong data, and (2) trusting unverified output.

Attorney vs. staff responsibilities

Step Staff role Attorney role
Task intake Clarify scope; identify sensitive facts Approve scope; set risk tier
AI run Use approved tool; log prompts/outputs Set expectations; approve templates
Verification Spot‑check facts; flag uncertainty Independent verification for high‑risk tasks
Release Never send client‑facing work without sign‑off Own final judgment; communicate to client/court

Activity: build an escalation rule

Write one sentence your team can adopt, e.g.:

Escalation rule: If AI output affects legal strategy, privilege, client communication, or court filings, escalate to the supervising attorney before the draft leaves the team.