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A practical legal checklist for businesses assessing the risks of website scraping, including terms of use, unauthorized access, privacy concerns, intellectual property issues, and potential litigation exposure.

A practical checklist for attorneys evaluating trademark infringement and likelihood of confusion under the Lanham Act in AI-related disputes, including brand use, consumer perception, and emerging enforcement risks.

As generative AI models require exceptionally massive datasets, often scraped directly from the Internet, to train their algorithms, the sheer scale of this extraction is fundamentally fracturing traditional intellectual property (IP) architectures. The rapid advancement of these systems has forced courts and policymakers to reconsider the boundaries of data ownership, fair use, and competition in an era where data is simultaneously a raw commodity and a highly valuable asset

Explore how facial recognition and biometric data are reshaping privacy law, as permanent identifiers drive new regulatory scrutiny and emerging class-action litigation strategies.

Automated pricing tools do not sit outside antitrust law. Regulators and courts are increasingly treating them as a modern mechanism through which familiar antitrust harms may occur: horizontal price-fixing, hub-and-spoke coordination, information-sharing conspiracies, monopolization through control of pricing infrastructure, and algorithm-enabled restraints in two-sided or data-intensive markets. DOJ has expressly stated that “using software as the sharing mechanism does no

An accessible analysis of how regulators evaluate tech platforms and data ecosystems, including market definition, data advantages, lock-in, interoperability, privacy, and digital market power.