Assessing Merger Guideline Feedback With Machine Learning
This article analyzes the results of large language model processing to reveal several important patterns in the comments to the draft merger guidelines.
How Artificial Intelligence and Machine Learning Are Impacting the Litigation Landscape
In this live webcast, Mike DeCesaris and Ernest Kim Song discuss the impact of AI and ML on litigation practice and expert testimony.
How AI and Machine Learning Are Impacting the Litigation Landscape
Mike DeCesaris and Sachin Sancheti detail how expert witnesses are incorporating artificial intelligence and machine learning into their testimonies.
Data Science Center Named a Legal Technology Trailblazer by the National Law Journal
National Law Journal recognized Cornerstone Research for providing clients with efficient and secure large-scale data analytics.
Public’s M&A Comments Hold Clues for Agency Guidelines
The authors identify key areas of interest in comments that members of the public submitted to the FTC and DOJ.
5 Questions with Mike DeCesaris: AI/ML Efficiency Driven by GPUs
5 Questions is a periodic feature produced by Cornerstone Research, which asks our professionals, senior advisors, or affiliated experts to answer five questions.
Data Science Center Tames Big Data Projects
CCBJ spoke with Greg Negus about the Data Science Center, including the value it brings to the firm’s clients and how it is equipped to meet ongoing data challenges.
City of Providence, Rhode Island, et al. v. BATS Global Markets Inc. et al.
The judge granted summary judgment for our clients, citing Professor Hendershott’s expert reports throughout his opinion.
5 Questions with Mike DeCesaris: Extracting Meaningful Insights from Unstructured Data
We interview Mike DeCesaris, about the challenges of working with unstructured data and how his team turns it into valuable information.
Artificial Intelligence & Machine Learning: Emerging Legal and Self-Regulatory Considerations, Part Two
In the second installment of this report by the ABA’s Section of Antitrust, the authors discuss the competition implications of big data and artificial intelligence/machine learning.
The Role of Artificial Intelligence and Machine Learning in Competition Proceedings: Key Takeaways
At an October 2020 webinar, attorneys, economists and academics discussed a range of topics related to artificial intelligence and machine learning in competition cases.
In re Chrysler-Dodge-Jeep EcoDiesel Marketing, Sales Practices, and Products Liability Litigation
Defense counsel retained Cornerstone Research to support two experts who showed the plaintiffs’ damages models could not reliably estimate damages on a classwide basis.
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