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- Title
Automation of legal sensemaking in e-discovery.
- Authors
Hogan, Christopher; Bauer, Robert S.; Brassil, Dan
- Abstract
Retrieval of relevant unstructured information from the ever-increasing textual communications of individuals and businesses has become a major barrier to effective litigation/defense, mergers/acquisitions, and regulatory compliance. Such e-discovery requires simultaneously high precision with high recall (high-P/R) and is therefore a prototype for many legal reasoning tasks. The requisite exhaustive information retrieval (IR) system must employ very different techniques than those applicable in the hyper-precise, consumer search task where insignificant recall is the accepted norm. We apply Russell, et al.'s cognitive task analysis of sensemaking by intelligence analysts to develop a semi-autonomous system that achieves high IR accuracy of F1 ≥ 0.8 compared to F1 < 0.4 typical of computer-assisted human-assessment (CAHA) or alternative approaches such as Roitblat, et al.'s. By understanding the 'Learning Loop Complexes' of lawyers engaged in successful small-scale document review, we have used socio-technical design principles to create roles, processes, and technologies for scalable human-assisted computer-assessment (HACA). Results from the NIST-TREC Legal Track's interactive task from both 2008 and 2009 validate the efficacy of this sensemaking approach to the high-P/R IR task.
- Subjects
ELECTRONIC discovery (Law); INFORMATION retrieval; LAWYERS; SEARCH engines; DISCOVERY (Law)
- Publication
Artificial Intelligence & Law, 2010, Vol 18, Issue 4, p431
- ISSN
0924-8463
- Publication type
Article
- DOI
10.1007/s10506-010-9100-1