Cornerstone Research Recognized in GCR 2021 Behavioural Matter of the Year – Americas
Global Competition Review names Cornerstone Research in the Team Category for the third year in a row, citing its economic work in FTC v. Qualcomm.
Free Can Make Cents
How to think about “free” in competitive markets.
2021 Who’s Who Legal: Consulting Experts
Cornerstone Research affiliated academic experts and staff named to Who’s Who Legal's 2021 list of consultants and expert witnesses.
A Tale of Two Sides: Sabre/Farelogix in the United States and the U.K.
The authors discuss the differing conclusions of the U.S. and U.K. courts in the proposed Sabre/Farelogix merger.
Evaluating Innovation Theories of Harm in Merger Review: Economic Frameworks and Difficulties
The authors discuss recent life science cases that deal with innovation theories of harm, and what economic models can be useful in reviewing proposed mergers in this space.
No-Poach Clauses in QSR Litigation
Class certification was denied in two seminal franchise no-poach litigation matters involving McDonald’s and Jimmy John’s.
Who’s Who Legal: Competition Future Leaders—Economists 2021
Cornerstone Research in-house experts recognised as future leaders of the international competition community.
Who’s Who Legal: Competition 2021—Economists
Cornerstone Research staff and affiliated experts were selected for the 2021 list of ‘the best consultants, expert witnesses and advisers in the world.’
Federal Trade Commission v. 1-800 Contacts
The Second Circuit Court of Appeals overturned an FTC decision regarding trademark enforcement against online competitors.
Cornerstone Research Staff and Experts Submit Comments to Multilateral Pharmaceutical Merger Task Force
Comments emphasize the need for the FTC to consider the varied effects of mergers on innovation.
Winners Announced for 2021 Antitrust Writing Awards
Concurrences Review named Cornerstone Research affiliated expert Scott Hemphill as a winner in its annual selection of leading antitrust and competition articles.
Artificial Intelligence & Machine Learning: Emerging Legal and Self-Regulatory Considerations, Part Two
In the second installment of this report by the ABA’s Section of Antitrust, the authors discuss the competition implications of big data and artificial intelligence/machine learning.
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