Mitigating AI Bias: What Every Lawyer Needs to Know
What You'll Learn Today
Learning Objectives
How AI Systems Learn Bias
Four Types of AI Bias
The Feedback Loop Problem
Proxy Discrimination — When AI Finds Substitutes
The Black Box Problem: Why Detection Is Difficult
LLM-Specific Bias Research
Why LLMs Are Particularly Risky for Legal Practice
Real-World Examples
COMPAS Algorithm. What It Is and Where It's Used
COMPAS. The ProPublica Investigation & Findingst
The Fairness Paradox — Equal Accuracy ≠ Equal Justice
Amazon's AI Recruiting Disaster
What Amazon's AI Did
Mary Louis v. SafeRent — $2.3M Settlement
Mobley v. Workday — The Case Reshaping AI Employment Law
ABA Model Rule 1.1 — Technology Competence & AI
ABA Formal Opinion 512 — What It Requires
ABA Formal Opinion 512: Bias & Supervision Obligations
The Rule 8.4(g) Gap — What Opinion 512 Doesn't Address
Federal Framework — No AI Exemption to Anti-Discrimination Law
California ADS Regulations — Effective October 1, 2025
California Rule 1.1 — Duty of Competence Applied to AI
Scenario: The Demand Letter Gone Wrong
Scenario: Biased Case Valuation Tool
Scenario: Discovery Review Failure
Supervision Duties Under Rules 5.1 & 5.3
No AI Exemption to the Rules of Professional Conduct
Strategy 1 — Avoid Leading Prompts
Strategy 2 — Test for Demographic Sensitivity
Strategy 3 — Specify Neutral Framing in Prompts
Strategy 4 — Request Alternative Perspectives
Strategy 5 — The CLAR Framework
Red Flags — Warning Signs of AI Bias
Due Diligence Checklist for Client AI Systems
Four Principles Every Lawyer Must Remember
Additional Resources & Further Learning
FINAL QUIZ — Mitigating AI Bias: What Every Lawyer Needs to Know
Questions?
