A Study on Application of Predictive Coding Tool for Enterprise E-Discovery (기업의 전자증거개시 대응을 위한 예측 부호화(Predictive Coding) 도구 적용 방안)

Yu Jun Sang (유준상); YIM JIN HEE (임진희)

doi:10.3743/KOSIM.2016.33.4.125

A Study on Application of Predictive Coding Tool for Enterprise E-Discovery

Journal of the Korean Society for Information Management
Abbr : JKOSIM
2016, 33(4), pp.125~157
DOI : 10.3743/KOSIM.2016.33.4.125
Publisher : 한국정보관리학회
Research Area : Interdisciplinary Studies > Library and Information Science
Received : November 20, 2016
Accepted : December 10, 2016
Published : December 30, 2016

Yu Jun Sang ¹, YIM JIN HEE ¹

¹명지대학교

Accredited

ABSTRACT

As the domestic companies which have made inroads into foreign markets have more lawsuits, these companies’ demands for responding to E-Discovery are also increasing. E-Discovery, derived from Anglo-American law, is the system to find electronic evidences related to lawsuits among scattered electronic data within limited time, to review them as evidences, and to submit them. It is not difficult to find, select, review, and submit evidences within limited time given the reality that the domestic companies do not manage their records even though lots of electronic records are produced everyday. To reduce items to be reviewed and proceed the process efficiently is one of the most important tasks to win a lawsuit. The Predictive Coding is a computer assisted review instrument used in reviewing process of E-Discovery, which is to help companies review their own electronic data using mechanical learning. Predictive Coding is more efficient than the previous computer assister review tools and has a merit to select electronic data related to lawsuit. Through companies’ selection of efficient computer assisted review instrument and continuous records management, it is expected that time and cost for reviewing will be saved. Therefore, in for companies to respond to E-Discovery, it is required to seek the most effective method through introduction of the professional Predictive Coding solution and Business records management with consideration of time and cost.

KEYWORDS

E-Discovery, electronic discovery, machine learning, search tool, business record, predictive coding

Citation status

* References for papers published after 2023 are currently being built.

[journal] 김도훈 / 2014 / A study on the search and information retrieval methods in the U.S. E-discovery- Focusing on the technology-assisted review - / 강원법학 / 비교법학연구소 41 : 217~252

[thesis] 김승범 / 2015 / 기록관리의 기회와 위협요인으로서의 전자증거개시(E-Discovery)제도 연구 / 석사 / 명지대학교 기록정보과학대학원

[confproc] 김영수 / 2011 / E-Discovery 대상 ESI의 컬링 성능 향상을 위한 핵심 기술 / 한국통신학회학술대회논문집 : 650~651

[journal] 김영수 / 2011 / E-Discovery 프로젝트: EDRM과 Sedona Conference / 주간기술동향 1509 : 14~27

[thesis] 김일아 / 2016 / 전자증거개시(E-Discovery)에 대응하는 미국 기업의 기록관리 동향 분석 / 석사 / 명지대학교 기록정보과학대학원

[journal] 김종호 / 2015 / Some Practical issues in the Preparing for E-Discovery under the Sedona Canada Principles Addressing Electronic Discovery / 법학연구 / 한국법학회 (59) : 147~184

[journal] 안정혜 / 2010 / Electronic Discovery in International Arbitration -Focusing on the Establishment of Rules Regarding Electronic Discovery- / 중재연구 / 한국중재학회 20(2) : 67~90

[journal] 이태림 / 2012 / E-Discovery Process Model and Alternative Technologies for an Effective Litigation Response of the Company / 디지털융복합연구 / 한국디지털정책학회 10(8) : 287~297

[journal] 전복만 / 2012 / A Study on Maintenance of the E-discovery for Intellectual Property Disputes in the Arbitration / 과학기술법연구 / 과학기술법연구원 18(3) : 367~402

[confproc] 천우성 / 2011 / e-Discovery 시스템 설계와 관리를 위한 인증과 암호화 / 한국컴퓨터정보학회 학술발표논문집 19(2) : 139~142

[thesis] 채은선 / 2008 / 디지털포렌식을 통한 E-discovery의 실용화에 관한 연구 / 석사 / 동국대학교 국제정보대학원

[report] 탁희성 / 2011 / 전자증거개시제도(E-Discovery)에 관한 연구 / 한국형사정책연구원

[journal] Acosta, A. M. / 2012 / Predictive coding: the beginning of a new e-discovery era / Res Gestae 56 : 8~

[journal] An ARMA International Publication / 2012 / November/December). Making 'predictive coding’ pay needs cooperation / Information Management 8

[journal] An ARMA International Publication / 2013 / March/April). Predictive coding to become an ethical obligation / Information Management 12

[journal] An ARMA International Publication / 2014 / May/June). Predictive coding : Not just for E-Discovery / Information Management 17

[journal] Debra, L. / 2008 / Using the electronic discovery reference model to process, review and analyze digital evidence / Gartner Research

[web] / EDPB 공식홈페이지 / http://www.edbp.com

[web] / EDRM 공식홈페이지 / http://www.edrm.net

[web] Schoenecker, E. Jr / 2015 / Nine cases on predictive coding from modus / https://www.linkedin.com/pulse/nine-cases-predictive-coding-from-modus-edward-schoenecker

[web] E-Discovery Team / 2008 / Thoughts on SEARCH and Victor Stanley, Inc. v / Creative Pipe, Inc / https://e-discoveryteam.com/2008/06/08/hundredth-blog-thoughts-on-search-and-victor-stanley-inc-v-creative-pipe-inc/

[web] E-Discovery Team / 2013 / My basic plan for document reviews: The “Bottom Line Driven”approach / https://e-discoveryteam.com/2013/10/01/my-basic-plan-for-document-reviews-the-bottom-line-driven-approach/

[journal] Issacs, L. / 2013 / Rolling the dice with predictive coding leveraging analytics technology for information governance / The Information Management Journal 47(1) : 23~26

[book] Volinino, L. / 2009 / E-Discovery for dummies / Wiley

[book] Pace, N. M. / 2012 / Where the money goes: Understanding litigant expenditures for producing electronic discovery / Rand

[journal] Swartz, N. / 2006 / New rules for E-Discovery / Information Management : 22~26

[other] Dynamo Holdings Limited Partnership / 2014 / Commissioner of Internal Revenue, 143 T.C. No. 9 (Sept. 17, 2014)

[other] / 2012 / EORHB, Inc., et al. v. HOA Holdings, LLC, C.A. No. 7409-VCL (Del. Ch. Oct. 15, 2012)

[other] / 2012 / In re Actos (Pioglitazone) Product Liability Litigation, No. 611-md-2299 (W.D. La. July 27, 2012)

[other] / 2013 / In Re: Biomet M2a Magnum Hip Implant Products Liability Litigation, No. 3:12-MD-2391 (N.D. Ind. Aug. 21, 2013)

[other] / 2012 / Moore v. Publicis Groupe SA, 2012 WL 1446534(S.D.N.Y. Apr. 26, 2012)

[other] / 2012 / No. 11 Civ. 1279(ALC)(AJP), 2012 WL 607412, at *3(S.D.N.Y. Feb. 24, 2012)

[other] / 2015 / Rio Tinto PLC v. Vale, S.A., et al., No. 1:14-cv-03042-RMB-AJP (S.D.N.Y. Mar. 2, 2015)

KJCKorea
Journal Central

Journal of the Korean Society for Information Management 2023 KCI Impact Factor : 1.31

A Study on Application of Predictive Coding Tool for Enterprise E-Discovery

ABSTRACT

KEYWORDS

Citation status

* References for papers published after 2023 are currently being built.

Journal of the Korean Society for Information Management 2023 KCI Impact Factor : 1.31

A Study on Application of Predictive Coding Tool for Enterprise E-Discovery

ABSTRACT

KEYWORDS

Statistics

Tools

Issue List

Citation status

KCI Citation Counts (3)

REFERENCES (33) * References for papers published after 2023 are currently being built.

Search PDF

Citation

* References for papers published after 2023 are currently being built.