Shopping-cart User-circle
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)
0/4
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)
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)
0/4
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)
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)
0/4
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)
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)
0/4
Confidentiality, Privilege & Data Privacy: Safe Inputs
Handling Sensitive Outputs: Review, Redaction, Storage
Incident Response & Vendor Due Diligence
Module 4 Knowledge Check (Self‑Check)
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
0/4
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
AI Ethics for Legal Professionals

Handling Sensitive Outputs: Review, Redaction, Storage

Even if your inputs are sanitized, outputs can still contain sensitive material (especially if you fed the tool detailed facts). Treat AI outputs like drafts that require careful review and secure handling.

Output review checklist

  • Scan for confidential facts, identifiers, and privileged content.
  • Remove speculative statements and unsupported conclusions.
  • Verify all citations, quotations, and numeric claims.
  • Confirm the tone is professional and not misleading.

Redaction best practices

If you must share an output (internally or externally), ensure it is properly redacted:

  • Use approved redaction tools (not manual black boxes in Word).
  • Remove metadata where required.
  • Have a second reviewer check redactions for completeness.

Secure storage & retention

  • Store AI prompts/outputs in the matter file if your policy requires it.
  • Do not store sensitive outputs in personal accounts or unapproved cloud drives.
  • Follow retention and deletion rules—especially for vendor platforms.

Activity: “two‑person redaction check”

Pick one AI output and practice a two‑person check:

  1. Reviewer 1 redacts.
  2. Reviewer 2 verifies no sensitive info remains and redactions are technically sound.
Previous
Next