Model Review & Risk Assessment

Unlawful collusion

• Whether training data incorporates pooled, non-public competitor information that individual firms could not have accessed independently, raising concerns analogous to unlawful information exchange
• Whether a model’s design and recommendations produce coordinated outcomes that mirror joint profit maximization — achieving anticompetitive effects that antitrust law prohibits regardless of whether firms explicitly agreed to coordinate

Unlawful discrimination

• Whether training data incorporates protected customer information (e.g., sex, race, color, religion, etc.) or features that serve as proxies for such characteristics, potentially encoding discriminatory intent in ways that are difficult to detect
• Whether a model’s design and recommendations produce systematically disparate outcomes across protected groups, raising concerns about unlawful discrimination regardless of whether any discriminatory intent can be identified

Our review helps identify regulatory risk and legal exposure and recommend risk mitigation strategies to address them.

Who This Serves

This service is designed for:

• Corporations deploying AI or algorithmic pricing tools seeking pre-deployment risk review
• In-house counsel evaluating regulatory compliance
• Law firms representing clients in algorithm-pricing related litigation