Annually, the ABA Journal compiles a list of “Legal Rebels” (A New Wave of Legal Rebels), in the words of the publication “celebrating those women and men who are remaking their corners of the legal profession”. The first two individuals’ achievements relate directly to legal information management, a topic close to our hearts here at Priory Solutions.
First mentioned in this year’s list is law librarian Sara Glassmeyer, now researcher at the Harvard Library Innovation Lab. Earlier this year we published an article, Dewey B Strategic: Free Legal Information is Not “Risk Free” featuring Sara Glassmeyer’s report “The State Legal Information Census: an analysis of primary state legal information”. It is this work that contributed to Sarah’s inclusion on the list. As quoted in the article, Sarah “really hope[s] that in 20 years, everything will be digitally published for free.” We’re sure this sentiment is shared by the majority of the people reading this article.
Also on the list of this year’s rebels is Jimoh Ovbiagele of Ross Intelligence, who is revolutionising legal research through AI, a hot topic at this year’s legal tech conferences, including ILTACON. ABA Journal said of Ovbiagele – clients were increasingly reluctant to pay high prices for legal research, despite so desperately relying on it. His solution was to introduce the rising power of AI in an effort to lower costs. “Ovbiagele doesn’t see people using Ross as a way to get legal help without hiring a lawyer, but he does think the service will allow legal services to be delivered at a more affordable price.”
“How do you handle large volumes of [electronically stored information] where there are only one or two associates on a matter and you’re not big on outsourcing to contract attorneys?” asked Maura Grossman, another of ABA’s Legal Rebels. Grossman is co-author of “Technology-Assisted Review in E-Discovery Can Be More Effective and More Efficient Than Exhaustive Manual Review”. In 2014, Grossman and her now fiancé Gordon Cormack published another paper, “Evaluation of Machine-Learning Protocols for Technology-Assisted Review in Electronic Discovery,” or TAR 2.0. This publication focussed on the necessity of continually tweaking the algorithm of your review process by engaging in active learning during e-Discovery. Grossman spoke out on the inefficiencies of traditional methods of e-Discovery.