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

Author:

Ashley Kevin D.,Bridewell Will

Publisher

Springer Science and Business Media LLC

Subject

Law,Artificial Intelligence

Reference35 articles.

1. Agrawal R, Rajagopalan S, Srikant R, Xu Y (2003) Mining newsgroups using networks arising from social behavior. In: Proceedings of the twelfth international conference on world wide web, ACM Press, Budapest, Hungary, pp 529–535

2. Ashley K (2007) Can AI & Law contribute to managing electronically stored information in discovery proceedings? Some points of tangency; position paper; ICAIL 2007 workshop on supporting search and sensemaking for electronically stored information in discovery proceedings (DESI). Stanford. http://www.umiacs.umd.edu/~oard/desi-ws/

3. Ashley K, Bridewell W (2007) III-CXT-Medium: tracing information flow to improve legal e-discovery. NSF Proposal No. 0803049. Declined

4. Ashley K, Brüninghaus S (2009) Automatically classifying case texts and predicting outcomes. Artif Intell Law 17(2):125–165

5. Attfield S, Blandford A (2010) Discovery-led refinement in e-discovery investigations: sensemaking, cognitive ergonomics and system design. Artificial intelligence and law special issue on e-discovery (this issue)

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