Warren Agin was the founding chair of the American Bar Association's Legal Analytics Committee. He has taught analytic techniques as an adjunct professor at Boston College Law School, and writes and lectures on data and machine learning systems.

Recent Publications

• Predicting Chapter 11 Bankruptcy Case Outcomes Using the Federal Judicial Center Idb and Ensemble Artificial Intelligence (June 1, 2019). Georgia State University Law Review, Vol. 35, No. 4, 2019 (with Gill Eapen)

• Using Machine Learning to Predict Success or Failure in Chapter 13 Bankruptcy Cases, 2018 Ann. Surv. of Bankr.Law 13 (2018 WL 4293106).

• Bankruptcy and Intellectual Property Deskbook, ABA 2016.

Certifications and Training

• Machine Learning - Andrew Ing, Stanford

• Machine Learning: Regression - University of Washington

• Machine Learning Foundations: A Case Study Approach - University of Washington

• Excel to MySQL: Analytic Techniques for Business Specialization - Duke University

• Managing Big Data with MySQL - Duke University

• Data Visualization and Communication with Tableau - Duke University

• Mastering Data Analysis in Excel - Duke University

• Business Metrics for Data-Driven Companies - Duke University

Prior to joining LexPredict, LLC (acquired by Elevate Services in December 2018), Mr. Agin was the principal of Analytic Law, and a member of Swiggart & Agin, LLC, a law firm he co-founded in 1999. Internationally known for his work in technology and insolvency law, Mr. Agin has chaired the American Bar Association's E-commerce and Insolvency Subcommittee, chaired the Business Law Section's Technology Committee, and served on the ABA's Standing Committee on Technology and Information Services as well as the Governing Council for the ABA’s Center for Innovation. He also previously co-chaired the Boston Bar Association's Internet and Computer Law Committee, and served for many years on the steering committee for its Intellectual Property Section.