Real-Time Congressional Predictions
Based on our deep learning A.I. system, we provide updated predictions for the bills currently under consideration, assigning each a chance of being enacted. This freely available resource allows you to focus on legislation that is likely to matter and offers a glimpse into the power of our more advanced subscription-based tools.
Skopos was selected for the NVIDIA Inception Program, which is propelling AI startups with powerful GPU tools, technology, and expertise. Inception nurtures exceptional startups who are revolutionizing industries with advances in AI.
Our team is composed of pioneering thought leaders at the intersection of policy and machine learning. We have expertise in deep learning, natural language processing, policy-making, and law.
John Nay, Ph.D. After graduating with High Distinction from the University of Virginia, John was awarded a Fulbright Scholarship and ultimately turned it down to start graduate school at Vanderbilt University, where he recently completed his Ph.D. in Computational Decision Science at the School of Engineering. His research focuses on machine learning, natural language processing, and forecasting.
Oliver Goodenough, J.D., is an authority in the application of technology to legal processes. In addition to his work at Skopos, Oliver is a Professor of Law at Vermont Law School, where he directs the Center for Legal Innovation, an Adjunct Professor at Dartmouth’s Thayer School of Engineering, and Affiliated Faculty at Stanford’s Center for Legal Informatics. Goodenough was previously a law firm partner practicing finance law in New York City.
J.B. Ruhl, J.D., LL.M., Ph.D., is a legal expert with extensive legislative and regulatory insight. J.B. is also a Professor of Law at Vanderbilt University and Director of the law school’s Program on Law & Innovation. Prior to becoming a professor, Ruhl was a partner at an AmLaw 20 law firm where his work included litigation and legislative matters.