Emerging AI & Law approaches to automating analysis and retrieval of electronically stored information in discovery proceedings

Kevin D. Ashley, Will Bridewell
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
more » ... ning with litigators' hypotheses about relevance, and since a central theme of AI & Law involves computationally modeling legal knowledge, reasoning and decision making, all three techniques can be described as characteristic of that field's potentially unique contribution to e-Discovery.
doi:10.1007/s10506-010-9098-4 fatcat:h4fmabzdv5er5mjttaz42gbahq