research-article

When to stop reviewing documents in eDiscovery cases: the Lit i View quality monitor and endpoint detector

Authors:

Jakob Halskov,

Hideki TakedaAuthors Info & Claims

MEDES '13: Proceedings of the Fifth International Conference on Management of Emergent Digital EcoSystems

Pages 227 - 232

https://doi.org/10.1145/2536146.2536177

Published: 28 October 2013 Publication History

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Abstract

In this paper, we describe a key issue of the review phase of litigation cases under the Discovery system, namely when to stop reviewing potentially relevant ("responsive") documents. UBIC's Lit i View software has recently been augmented with a Quality Monitor (patent pending) and a so-called Endpoint Detector (patent pending) which provide sound statistical indications of when document review can safely be stopped while maintaining defensibility in the subsequent trial.

References

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Diesner, Jana; Terrill L. Frantz; Kathleen M. Carley. 2005. Communication Networks from the Enron Email Corpus. "It's Always About the People. Enron is no Different". In Computational & Mathematical Organization Theory. 11 (3), 201--228. Kluwer, MA.

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[2]

Halskov, Jakob. 2013. Augmenting Predictive Analytics for eDiscovery with Richer Linguistic Features. Poster presentation at Asian Summer School in Information Access, ASSIA (Research Center for Knowledge Communities, Tsukuba University, Japan, June 22--24). http://www.kc.tsukuba.ac.jp/assia2013/poster_presentation

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[3]

Oard, Douglas W.; Jason R. Baron; Bruce Hedin; David D. Lewis; Stephen Tomlinson. 2010. Evaluation of information retrieval for E-discovery. In Artificial Intelligence and Law, 18 (4), 347--386. Springer, Amsterdam.

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Takeda, Hideki. 2013. Trend on Digital Forensic Technologies and Business in Japan. Keynote Speech. In Proceedings of the 5^th IEEE International Workshop on Computer Forensics in Software Engineering (Kyoto, Japan, July 22--26). IEEE Computer Society Press, CA.

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Webber, William. 2011. Re-examining the Effectiveness of Manual Review. In Proceedings of SIGIR 2011 Information Retrieval for E-Discovery Workshop (Beijing, China, July 28). http://www.umiacs.umd.edu/~oard/sire11/

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Saha THasan MBurgess CHabib MJohnson J(2015)Batch-mode active learning for technology-assisted reviewProceedings of the 2015 IEEE International Conference on Big Data (Big Data)10.1109/BigData.2015.7363867(1134-1143)Online publication date: 29-Oct-2015
https://dl.acm.org/doi/10.1109/BigData.2015.7363867

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When to stop reviewing documents in eDiscovery cases: the Lit i View quality monitor and endpoint detector

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eDiscovery versus Computer Forensics

The contents of this article are similar to a chapter in an upcoming book by Steve Hailey and Mike Chapman, for which the author of this article will be a contributing author. This new book on computer forensics will be about the forensics process and ...
Pennsylvania eDiscovery 3rd Edition
A Selection of Cases On the Law of Torts; Volume 2

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Published In

MEDES '13: Proceedings of the Fifth International Conference on Management of Emergent Digital EcoSystems

October 2013

358 pages

ISBN:9781450320047

DOI:10.1145/2536146

Conference Chairs:
Latif Ladid
University of Luxembourg Interdisciplinary Center for Security, Luxembourg
,
Antonio Montes
Centro de Tecnologia da Informação Renato Archer, Brazil
,
General Chair:
Peter A. Bruck
Research Studios Austria Forschungsgesellschaft mbH, Austria
,
Program Chairs:
Fernando Ferri
CNR, Italy
,
Richard Chbeir
UPPA University, France

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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SIGAPP: ACM Special Interest Group on Applied Computing

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Association for Computing Machinery

New York, NY, United States

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Published: 28 October 2013

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MEDES '13

Sponsor:

LBBC
IPv6 Luxembourg Council
Luxembourg Green Business Awards 2013
LUXINNOVATION
Pro Newtech
CTI

MEDES '13: Fifth International Conference on Management of Emergent Digital EcoSystems

October 28 - 31, 2013

Luxembourg, Luxembourg

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MEDES '13 Paper Acceptance Rate 56 of 122 submissions, 46%;

Overall Acceptance Rate 267 of 682 submissions, 39%

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Saha THasan MBurgess CHabib MJohnson J(2015)Batch-mode active learning for technology-assisted reviewProceedings of the 2015 IEEE International Conference on Big Data (Big Data)10.1109/BigData.2015.7363867(1134-1143)Online publication date: 29-Oct-2015
https://dl.acm.org/doi/10.1109/BigData.2015.7363867

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Abstract

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Recommendations

eDiscovery versus Computer Forensics

Pennsylvania eDiscovery 3rd Edition

A Selection of Cases On the Law of Torts; Volume 2

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