AntitrustPrice Fixing and Cartels
Auditing a Pricing Algorithm for Antitrust Risk: A Practical Guide
An algorithmic pricing audit is not a technical review; it is an inquiry into what data enters the model, what assurance the firm receives about competitors, and whether pricing decisions remain the firm's own. This guide sets out a twelve-step audit that a legal team can run with the pricing and data functions, beginning with scoping and privilege and moving through vendor diligence, data provenance mapping, model architecture classification, and contract review. It covers the interviews that matter more than the documentation, the document review that finds the sentence nobody should have written, and the analysis of adherence and deviation that will be central to any later dispute. Remediation sections address contract renegotiation, model reconfiguration, decision documentation, and training. It closes with reporting to the board, setting the re-audit cadence, and what to do if the audit finds something serious.