Our insights section provides a collection of news, articles and events involving Matrix members.
Algorithmic Pricing, Hub and Spoke, and the Limits of Cartel Law
The most instructive AI competition case ever brought involved neither artificial intelligence nor any novel legal theory. A group of sellers of posters and picture frames on Amazon agreed, in the old-fashioned way and by email, not to undercut one another. They then deployed repricing software to police the deal. The software watched the market […]
Hodivala and Rab on Global Supply Chains: Law and Practice
Supply chain regulation now spans due diligence, disclosure, trade, sanctions, financial crime and civil liability, and the rules differ across jurisdictions. A new LexisNexis title co-edited by Jamas Hodivala KC and Prof Suzanne Rab with a team of specialist contributors explains how the regimes fit together and where the exposure lies. Hodivala and Rab on […]
New Law Journal Article on a New Approach to the Israel-Palestine Conflict
Danny Friedman KC and Dr Victor Kattan, Assistant Professor of Public International Law at the University of Nottingham and Smuts Visiting Fellow at the University of Cambridge, have co-authored an article in the New Law Journal, “Will Britain answer for the Palestine mandate?“, which examines the legal arguments surrounding Britain’s historical responsibilities in Palestine and […]
The Four Assumptions Competition Law Never States, Until They Fail
Ask a competition lawyer what has to be proved under the Chapter I prohibition and the answer comes without hesitation. There must be an agreement or concerted practice between undertakings (the legal term for businesses), which has the object or effect of preventing, restricting or distorting competition. Now ask a different question. What do those […]
The Data Moat Is a Mirage
Why data is not the barrier to entry in AI markets Every argument about AI and market power runs, sooner or later, on a single mechanism. A firm with a better model attracts more users. More users generate more data. More data buys a better model still. And the lead, once won, widens by itself. […]