William Li, Pablo Azar, David Larochelle, Phil Hill & Andrew Lo, Law is Code: A Software Engineering Approach to Analyzing the United States Code
ABSTRACT: “The agglomeration of rules and regulations over time has produced a body of legal code that no single individual can fully comprehend. This complexity produces inefficiencies, makes the processes of understanding and changing the law difficult, and frustrates the fundamental principle that the law should provide fair notice to the governed....
The freshmen who enroll at the University of Texas at Austin have grown up in a world of ready-at-their-fingertips cloud applications that they can use anywhere and everywhere. However, storing files in the cloud and collaborating on documents in real-time is still a thing of wonder to me and the faculty in my department, the College of Education – we’re old enough to remember the days of sharing documents with thumb drives, not to mention marking papers by hand. Since our students have grown...
This is a law school class rank calculator that uses publicly available data to predict law school class rank based on LSAT and undergraduate GPA. The calculator itself is fairly accurate for LSATs and GPAs that are between the 25th and 75th percentiles for each school. Its accuracy decreases for very low or very high LSATs or GPAs for a particular school.
Although the calculator itself is fairly accurate within those ranges, its results demonstrate that law school class rank is not at all predetermined...
FantasySCOTUS — Josh Blackman’s prediction market for U.S. Supreme Court decisions — is now hosted by Michael Bommarito, Daniel Martin Katz, and Blackman’s firm, LexPredict, and is sponsored by Thomson Reuters, according to the service’s new About page.
The new URL for FantasySCOTUS is: https://fantasyscotus.lexpredict.com/
A new feature of FantasySCOTUS is that the crowdsourced predictions made by participants will be compared to predictions generated by Katz, Bommarito, and Blackman’s...
Some days I think nobody knows me as well as Pandora. I create a new music channel around some band or song and Pandora feeds me a series of songs I like just as well. In fact, it often feeds me songs I’d already downloaded onto my phone from iTunes. Either my musical taste is extremely conventional or Pandora is really good at knowing what I like.
In the current issue of Wired, the technology writer Kevin Kelly says that we had all better get used to this level of predictive prowess. Kelly...