Mike DeCesaris leads the Data Science Center at Cornerstone Research and coheads the firm’s technology, digital economy, and artificial intelligence practice. Mr. DeCesaris plays a leading role in Cornerstone Research’s initiatives related to artificial intelligence (AI), generative AI (GenAI), and Large Language Models (LLMs).
The Data Science Center has grown substantially under Mr. DeCesaris’s leadership. The National Law Journal named the Data Science Center’s interdisciplinary team of data scientists and data engineers a Legal Technology Trailblazer, recognizing their machine learning (ML), text analytics, big data analytics, and cloud computing expertise.
Mr. DeCesaris has more than twenty-five years of experience consulting on all phases of commercial litigation, internal investigations, and regulatory matters. He focuses on complex, data-intensive empirical projects at the intersection of economics, law, technology, and data science.
Mr. DeCesaris works with counsel to efficiently manage the production and analysis of large, proprietary databases. His expertise includes issues related to healthcare, pharmaceuticals, the False Claims Act, antitrust and competition, merger reviews, intellectual property (IP), and allegations of consumer fraud, product misrepresentation, and breach of contracts. Mr. DeCesaris works on matters in numerous industries, notably airlines, consumer products, energy and commodities, financial services, healthcare, life sciences, technology, and telecommunications and media.
Mr. DeCesaris coauthored “How AI and Machine Learning Are Impacting the Litigation Landscape” (Law.com); “5 Questions with Mike DeCesaris: AI/ML Efficiency Driven by GPUs” (National Law Review); and “Using Big Data in Gathering Expert Testimony” (Law360). Metropolitan Corporate Counsel interviewed him on “Digging for Deep Expertise: Big data and discovery deadlines drive surging need for well-prepared experts.”
Before joining Cornerstone Research, Mr. DeCesaris was a consultant with National Economic Research Associates.
How Artificial Intelligence and Machine Learning Are Impacting the Litigation Landscape
How AI and Machine Learning Are Impacting the Litigation Landscape
Data Science Center Named a Legal Technology Trailblazer by the National Law Journal
5 Questions with Mike DeCesaris: AI/ML Efficiency Driven by GPUs
Data Science Center Tames Big Data Projects
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