Human-aided computer cognition for e-discovery

Authors:
Christopher Hogan;Robert Bauer;Dan Brassil
Affiliations:
H5, San Francisco;H5, San Francisco;H5, San Francisco
Venue:
Proceedings of the 12th International Conference on Artificial Intelligence and Law
Year:
2009

Citing 2
Cited 2

A symbiotic theory formation system

A symbiotic theory formation system
Relevance: A review of the literature and a framework for thinking on the notion in information science. Part II: nature and manifestations of relevance

Journal of the American Society for Information Science and Technology

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

Artificial Intelligence and Law
E-discovery revisited: the need for artificial intelligence beyond information retrieval

Artificial Intelligence and Law

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Abstract

Throughout its history, AI researchers have alternatively seen their mission as producing computer behavior that is indistinguishable from that of humans or as providing computational tools to augment human intelligence. The legal context provides a particularly rich domain for exploring the benefits of both approaches because human judgments are central to the delivery of just outcomes with formal mechanisms for challenging any and all judgments within its core practices and institutions. Through exploration of legal e-discovery, we explicitly address these alternative paradigms for applying interdisciplinary sciences to knowledge-based systems. We demonstrate through a series of quantitative studies that a system architecture for Human-Aided Computer Cognition automates and replicates judgments significantly better than the ubiquitous, traditional Computer-Aided Human Cognition of senior attorney relevance as is defined in legal practice.