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TECHNOLOGY-ASSISTED REVIEW IN E-DISCOVERY CAN BE MORE EFFECTIVE AND MORE EFFICIENT THAN EXHAUSTIVE MANUAL REVIEW

2011
Journal from gdlhub / 2017-08-14 11:52:32
Oleh : Maura R. Grossman , Gordon V. Cormack, Richmond Journal of Law and Technology
Dibuat : 2012-06-23, dengan 1 file

Keyword : Technology-Assisted , E-Discovery , Exhaustive Manual Review
Subjek : TECHNOLOGY-ASSISTED REVIEW IN E-DISCOVERY CAN BE MORE EFFECTIVE AND MORE EFFICIENT THAN EXHAUSTIVE MANUAL REVIEW
Url : http://jolt.richmond.edu/v17i3/article11.pdf
Sumber pengambilan dokumen : Internet

E-discovery processes that use automated tools to prioritize and


select documents for review are typically regarded as potential cost-savers

–but inferior alternatives –to exhaustive manual review, in which a cadre


of reviewers assesses every document for responsiveness to a production


request, and for privilege. This Article offers evidence that such


technology-assisted processes, while indeed more efficient, can also yield


results superior to those of exhaustive manual review, as measured by


recall andprecision, as well as F1, a summary measure combining both


recall and precision. The evidence derives from an analysis of data


collected from the TREC 2009 Legal Track Interactive Task, and shows


that, at TREC 2009, technology-assisted review processes enabled two


participating teams to achieve results superior to those that could have


been achieved through a manual review of the entire document collection


by the official TREC assessors.

Deskripsi Alternatif :

E-discovery processes that use automated tools to prioritize and


select documents for review are typically regarded as potential cost-savers

–but inferior alternatives –to exhaustive manual review, in which a cadre


of reviewers assesses every document for responsiveness to a production


request, and for privilege. This Article offers evidence that such


technology-assisted processes, while indeed more efficient, can also yield


results superior to those of exhaustive manual review, as measured by


recall andprecision, as well as F1, a summary measure combining both


recall and precision. The evidence derives from an analysis of data


collected from the TREC 2009 Legal Track Interactive Task, and shows


that, at TREC 2009, technology-assisted review processes enabled two


participating teams to achieve results superior to those that could have


been achieved through a manual review of the entire document collection


by the official TREC assessors.

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