Monica (Sidong) Zhong

“Dark patterns” is a term used to describe potentially deceptive app or website designs that could manipulate consumers to make choices they would otherwise not make.

On April 30, the FTC published updated business guidance concerning multilevel marketers, or MLMs. This 2024 guidance details the current principles and practices that the FTC claims to consider in its assessment of whether an MLM is offering an unlawful compensation structure and operating as a pyramid scheme.

Edgeworth experts Matt Milner, Sophie Meadows, Ashley Zhou, and Monica Zhong highlight the importance of economic analysis in assessing competitive harm in data-focused industries in the Global Competition Review Data and Antitrust Guide.

“Dark patterns” is a term used to describe potentially deceptive app or website designs that could manipulate consumers to make choices they would otherwise not make.

On April 30, the FTC published updated business guidance concerning multilevel marketers, or MLMs. This 2024 guidance details the current principles and practices that the FTC claims to consider in its assessment of whether an MLM is offering an unlawful compensation structure and operating as a pyramid scheme.

At the 72nd ABA Antitrust Spring Meeting panel “The Price is Right (Or Is It?),” panelists discussed concerns related to “dark patterns,” specifically focusing on pricing and disclosure practices such as “junk fees,” automatic renewals, and negative options.

On November 9, 2023, the American Bar Association Antitrust Law Section held its annual Fall Forum focused on the theme “Can Antitrust and Consumer Protection Keep Up with Artificial Intelligence (AI)?” This exciting program brought together computer scientists performing cutting-edge AI research, policymakers considering proper legislation for regulating these new technologies, and practitioners navigating the implications of this changing legal landscape in the scope of antitrust, privacy, and consumer protection.

Artificial intelligence (“AI”) has long been a hot topic across various industries, including the legal sector, especially with the recent breakthrough of innovative generative AI system—Large Language Model (“LLM”) applications like ChatGPT that can process and generate humanlike text in real-time. These technologies can revolutionize the way legal cases are managed, making it more critical than ever for professionals in the legal industry to learn how to harness the power of generative AI to their advantage—and to understand the limits of its capabilities.

U.S. District Judge Barbara Lynn's decision in Federal Trade Commission v. Neora LLC in the U.S. District Court for the Northern District of Texas last week marks a landmark victory for the direct selling industry.[1]

Regression analysis is a statistical tool used by economists, statisticians, and others to “understand the relationship between or among two or more variables.”  Any attorney new to the antitrust space will invariably encounter regression analysis frequently. In this article, we provide a brief introduction to the regression methodology.