A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2010; you can also visit the original URL.
The file type is application/pdf
.
Emerging AI & Law approaches to automating analysis and retrieval of electronically stored information in discovery proceedings
2010
Artificial Intelligence and Law
This paper focuses on three emerging techniques for improving the process of automating analysis and retrieval of electronically stored information in discovery proceedings: (1) machine learning to extend and apply users' hypotheses (theories) of document relevance; (2) a hypothesis ontology to generalize user modeling regarding relevance theories; and (3) social network analysis to supplement and apply user modeling regarding relevance theories. Since all three pertain to representing and
doi:10.1007/s10506-010-9098-4
fatcat:h4fmabzdv5er5mjttaz42gbahq