Plaintiffs suing LinkedIn Corporation in Crowder v. LinkedIn, pending before the US District Court for the Northern District of California, filed an amended complaint on September 11, 2026, after the court granted them leave to add allegations built on documents LinkedIn produced in discovery. The plaintiffs, Premium subscribers pursuing a class action, allege that LinkedIn illegally monopolizes the market for professional social networking and uses its position to overcharge Premium subscribers. The amended pleading adds that LinkedIn's dominance is protected by what plaintiffs call a barrier to entry made up of the company's data centralization and aggregation, its machine learning and AI infrastructure, and the inferred data that infrastructure produces, which plaintiffs say lets LinkedIn maximize user attention and revenue. The filing followed a September 10 discovery order from Magistrate Judge Laurel Beeler granting the plaintiffs' motion to compel LinkedIn to run a generative AI related search string across four custodians and produce responsive documents, over LinkedIn's objection. The case, assigned to Judge Haywood S. Gilliam Jr., has been in active discovery for years, and an earlier proposed settlement in the case was rejected by the court. LinkedIn had not filed a public response to the amended allegations as of publication.
LinkedIn Premium Subscribers Amend Antitrust Complaint to Target Its AI and Data Infrastructure
Plaintiffs in a long-running federal antitrust class action against LinkedIn filed an amended complaint on September 11 adding allegations that the company's machine learning and AI infrastructure, not just its user data, functions as a barrier protecting its alleged monopoly over professional social networking and lets it overcharge Premium subscribers.
Source: MLex, September 11, 2026
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