Best Practices For Managing Data In Antitrust Cases
Edgeworth Economics Partners Dr. George Korenko and Matthew Milner have published “Best Practices For Managing Data In Antitrust Cases” in Competition Law360. In the article, the authors offer strategies for attorneys and experts collecting and preparing data for antitrust cases. The authors bring these approaches to life through a hypothetical antitrust case involving claims of price-fixing. Through the case example, the authors walk the reader through:
- identifying the data systems that potentially contain data requested in the discovery phase of the case;
- considering the best way to extract the relevant data;
- validating the extracted data to identify potential anomalies;
- and assessing how to prepare the data for analysis, including identifying key elements in the data, determining the extent to which disparate datasets should be combined, and evaluating whether there is additional useful information that can be linked together.
Dr. Korenko and Mr. Milner emphasize the need for collaboration between the client, counsel, and expert in ensuring that the relevant data are collected and prepared in an efficient and effective manner. They conclude that following these best practices is likely to yield data that can be reliably used to address relevant economic questions posed by counsel and experts.