The Leading Cases Filter; Enhancing full-text database searching with secondary materials

Full-text case law searching is inefficient due to the vagaries of, and subjective qualities of language, and the objective nature of standard search algorithms. Mining secondary materials for cases identified by scholars as leading ones, and then using them as a core filter in which to begin an online research session is one way to make full-text searching more efficient. The resulting algorithm, the "Leading Cases Filter" (also embarrassingly know as the "Leiter Filter"), is open source and freely available to all developers.  
This program will discuss the challenges of building such an algorithm, its performance, and possible avenues for further study. 
The session will be presented by Richard Leiter, Director of the Library at University of Nebraska, and Pablo Arredondo, Fellow at the Stanford Center for Legal Informatics and member of the free legal research platform Casetext.