Empirical SCOTUS is collaborating with tech entrepreneur Badri Narasimhan to roll out two new products:

OLA – Optimal Legal Audio (OLA) is a platform that does audio and text analysis of oral arguments. Using tonal analysis, word analysis and the interaction pace, we have created a model to predict the vote of each judge. The platform has been tested on cases in the Supreme Court, Appeals Courts and in State courts. We believe that predictive modeling of judicial decisions after oral arguments would help hedge funds assess exposure and litigation funding companies hedge their financing arrangements. See here for more details. Here is an article I wrote about the findings on Grants Pass using OLA and here is another article on the OLA findings for the SEC v Jarkesy case.

DORA – Dora is a docket reader. The platform reads incoming dockets, tracks assignments to various team members, helps you measure and manage the throughput from the new docket to a billable hour. Alerts from new dockets are either too few or too many. We help you understand the bottlenecks of the process, monitor whether some dockets do not get analyzed for possible new business development, which clients convert far fewer dockets to matters for you and dive deeper into a problem before it becomes bigger and more. You can find additional details here.

We are looking for stealth customers and we will tailor make these solutions around your needs. We would love to hear from you.