Joshua D. Blank, Professor of Law and Faculty Director of Strategic Initiatives, University of California, Irvine School of Law
Leigh Osofsky, Professor of Law, University of North Carolina School of Law
This Article offers one of the first critiques of these new systems of artificial intelligence. It shows that automated legal guidance currently relies upon the concept of “simplexity,” whereby complex law is presented as though it is simple, without actually engaging in simplification of the underlying law. While this approach offers potential gains in terms of efficiency and ease of use, it also causes the government to present the law as simpler than it is, leading to less precise advice and potentially inaccurate legal positions. Using the Interactive Tax Assistant as a case study, the Article shows that the use of simplexity in automated legal guidance is more powerful and pervasive than in static publications because it is personalized, non-qualified, and instantaneous. Further, it argues that understanding the costs as well as the benefits of current forms of automated legal guidance is essential to evaluating even more sophisticated, but also more opaque, automated systems that governments are likely to adopt in the future.
Yesha Yadav, Professor of Law, Vanderbilt Law School
According to statute, securities exchanges play an essential role in ensuring compliance with applicable laws and industry standards. Long imagined as unique in their institutional capacity to bring traders together, collect information and exclude problem participants from the marketplace, exchanges have offered an efficient source of private discipline for public regulators. The classic conception of…