Matthew D. Provance
- Indexed articles, last 90 days
- 3
- Latest publication
- Aug 4, 2026
- Outlet visibility, for Mondaq
- Top 500K sites
- Earliest in this view
- Jul 7, 2026
Latest articles
Algorithmic Price Fixing After Cornish-Adebiyi: The Third Circuit Revives Hub-and-Spoke Claims Against Shared Pricing Software (opens the original)
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On July 29, 2026, the United States Court of Appeals for the Third Circuit issued its decision in Cornish-Adebiyi v. Caesars Entertainment, Inc., No. 24-3006, reversing the District of New Jersey’s dismissal of a putative class action alleging that Atlantic City casino-hotels and their algorithmic software provider, Cendyn Group, LLC, conspired to fix hotel room prices in violation of Section 1 of the Sherman Act. The plaintiffs allege that the casino-hotel defendants fed non-public, real-time r
California District Court Relies On Popa v. Microsoft To Deny Class Certification, Finding Individualized Questions Of Class Member Standing In CIPA Action (opens the original)
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On July 20, the court in Edward Lewis et al. v. Magnite, Inc., No. 2:25-cv-03448 (C.D. Cal.), relied on the Ninth Circuit’s recent decision on Article III standing, Popa v. Microsoft Corporation, to find that individualized inquiries into whether each putative class member suffered a concrete injury from alleged violations of the California Invasion of Privacy Act (“CIPA”) would predominate, defeating class certification under Rule 23(b)(3). This appears to be one of the first decisions applying
Collusion By Code: What DOJ’s Algorithmic Pricing Enforcement Means For The Energy Sector (opens the original)
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On May 14, 2026, Acting Deputy Assistant Attorney General for Criminal Enforcement Daniel Glad delivered remarks titled “Old Crime, New Code” at the Antitrust West Coast Conference in San Francisco. The speech represents one of the most detailed public statements to date by a senior DOJ official on the application of criminal antitrust law to algorithmic pricing tools, software-as-a-service (“SaaS”) platforms, and large language models (“LLMs”). For companies operating in the energy sector, wher
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Top 500K sites
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