Mike DeCesaris has twenty years of consulting and litigation experience. He leads the firm’s Data Science Center. Mr. DeCesaris specializes in directing complex, data-intensive projects requiring data management, production, and integration, along with advanced empirical analysis. He has worked with both outside and inside counsel to efficiently manage the discovery of large, proprietary databases in complex litigation, investigations, and merger reviews.
His extensive experience spans matters related to healthcare, the False Claims Act, antitrust and competition, consumer fraud and product misrepresentation, internal investigations, intellectual property, and breaches of contracts. Mr. DeCesaris is experienced leading teams assisting clients seeking to conduct complex internal investigations, address class certification, establish the impact of conduct, estimate damages, assess exposure, or calculate settlement payments. The matters he has worked have involved a range of industries, including healthcare and life sciences, financial services, energy and commodities, telecommunications and media, high technology, consumer products, tobacco, and airlines.
Mr. DeCesaris is the author of the article “Using Big Data in Gathering Expert Testimony,” published in Law360. He also coauthored “Mobile Advertising: An Economic Perspective,” published in Distribution, the newsletter of the American Bar Association’s Antitrust Section; and “Energy Trading Strategies in California: Market Manipulation?” published in Obtaining the Best from Regulation and Competition. Metropolitan Corporate Counsel published an interview with Mr. DeCesaris on “Digging for Deep Expertise: Big data and discovery deadlines drive surging need for well-prepared experts.” Prior to joining Cornerstone Research, Mr. DeCesaris was a consultant with National Economic Research Associates.
Data Science Center Named a Legal Technology Trailblazer by the National Law Journal
5 Questions with Mike DeCesaris: Extracting Meaningful Insights from Unstructured Data
The Role of Artificial Intelligence and Machine Learning in Competition Proceedings: Key Takeaways
Expert Forum: The Role of Artificial Intelligence and Machine Learning in Competition Proceedings
- Negligence Lawsuit Against Healthcare Provider
- Healthcare Insurance Payments Kickback Trial
- Advertising Targeting a Medical Services Provider
- Class Certification Opposed on Behalf of Healthcare Provider
- Energy Breach of Contract Case
- Comcast–NBC Universal Joint Venture
- In re International Air Transportation Surcharge Antitrust Litigation
- Cingular–AT&T Wireless Merger
- In re High Fructose Corn Syrup Antitrust Litigation
- Exxon–Mobil Merger
- Other Market Manipulation Experience
- FERC Refund Hearings on California Electricity Markets
- FERC Refund Hearings on California Electricity Markets (Duke Energy)
- Biotechnology Monopolization Class Action
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