About UK-CLAD

This platform serves as the digital hub for the first comprehensive empirical analysis of private antitrust enforcement and access to justice within the UK Competition Appeal Tribunal (CAT). The project examines a wide range of variables, including case duration, claim types, and the parties involved in litigation related to competition damages claims (Section 47A) and collective actions (Section 47B).

  • Map litigation trends and identify the main characteristics of competition law cases in the UK
  • Assess whether access to justice is genuinely upheld through this system

The Dataset at a Glance

To accurately measure Access to Justice, the study deploys algorithmic corporate tracking. This reveals the true corporate size, registered location, and standard industrial classification (SIC) of all litigants, effectively separating independent SMEs from subsidiaries of multinational groups.

The research systematically codes all available final judgments on the merits, isolating the actual rate at which claimants recover what they sought.

Substantive Success Rate = Judicial Award Initial Claim Value × 100%

We analysed all published CAT cost judgments to map the empirical gap between claimed legal expenses and awarded costs. This quantitative foundation drives the project’s Cost Estimator.

The Geography of Litigation

Where do claims originate, and which industries are most exposed to antitrust litigation?

i
Cases

Principal Investigator

Dr Claudio Lombardi

Dr Claudio Lombardi University Profile

Lecturer in Law, University of Aberdeen, Scotland

Dr. Lombardi's research focuses on the intersection of competition law and empirical legal studies.

This project bridges the gap between theoretical antitrust frameworks and the financial realities of litigation, providing policymakers, practitioners, and scholars with open-access, data-driven insights into the functioning of the UK's primary competition court.

Acknowledgments

This website was made possible through an Agile grant from the University of Aberdeen. Project ID 12073249.