We think you have liked this presentation. If you wish to download it, please recommend it to your friends in any social system. Share buttons are a little bit lower. Thank you!
Presentation is loading. Please wait.
Published byMaya Graves
Modified over 2 years ago
E-Discovery and Predictive Coding A Conversation With In-House and Outside Counsel
© LeClairRyan PC 2011 Agenda What is Predictive Coding? Overview of the Process Reliability and Defensibility Making it Work
© LeClairRyan PC 2011 Before Predictive Coding Technology-Assisted Review is Not New – Post-It® Notes – Black markers – Highlighters – White-out tape – Etc.
© LeClairRyan PC 2011 Before Predictive Coding Technology-Assisted Review is Not New – Coding Forms – Indexing and Searching – Hashing – Duplicate and Near-Duplicate Identification – Threading – Clustering – Concept Searching – Workflow Functionality
© LeClairRyan PC 2011 Why Predictive Coding? Explosion of Electronically Stored Information – Amendments to the Federal Rules (2006) – Nearly Impossible to Print and Review Volume Objectives of Leveraging Technology – Capture Work Product – Save Time – Reduce Cost – Increase Quality
© LeClairRyan PC 2011 What is Predictive Coding? Terminology – Predictive Coding – Machine Learning – Technology Assisted Review – Software Assisted Review – Suggestive Coding
© LeClairRyan PC 2011 What is Predictive Coding? What Makes the Next Generation Tools Different?
© LeClairRyan PC 2011 How Does It Work? Typical Process – Counsel identifies the data set – Counsel categorizes selected documents – Computer learns from counsels decisions – Computer suggests additional documents – Counsel categorizes additional documents – Repeat until desired level of precision and recall achieved
© LeClairRyan PC 2011 How Does it Work? What about the humans?
© LeClairRyan PC 2011 What About the Humans? …you cannot just dispense with final manual review.... we are not going to turn that over to the Borg anytime soon. Ive asked around and no law firms do that now. No experts advocate that approach either, even the most extreme advocates for automation (of which Im one)... only a fool (or con artist trying to get at a producing parties (sic) secrets) trusts coding software today without human verification. Ralph Losey, Bottom Line Driven Proportional Review, Jan. 15, 2012, available at
© LeClairRyan PC 2011 What About the Humans? Discovery cannot be wholly automated, not for the reason that it involves so-called subjective judgment, but because ultimately attorneys and parties in the case have to know what the data are about. They have to formulate and respond to arguments and develop a strategy for winning the case. They have to understand the evidence that they have available and be able to refute contrary evidence. All of this takes knowledge of the case, the law, and much more. Kershaw, Roitblat and Oot, Document Categorization in Legal E-Discovery: Computer Classification vs. Manual Review, Journal of the American Society for Information Science and Technology, 61(1):70–80, 2010
© LeClairRyan PC 2011 What About the Humans? Understanding corpus Knowledgable experts / SME(s) (e.g. to identify small sets of documents representative of each issue to be coded Human review of tiered data sets Human quality control processes Human evaluation of sampling and testing results Project management
© LeClairRyan PC 2011 Is it Reliable? What Does It Mean to Be Reliable? – Precision: Percentage of Retrieved Results that are Relevant – Recall: Percentage of Relevant Results that are Retrieved How Do We Confirm Reliability in a Data Set? – Review It – Statistical Sampling
© LeClairRyan PC 2011 Is it Defensible? What Does It Mean to Be Defensible? – Judicial opinions – Court of public opinion
© LeClairRyan PC 2011 Is it Defensible? "Depending on the circumstances, a party that uses advanced analytical software applications and linguistic tools in screening for privilege and work product may be found to have taken reasonable steps to prevent inadvertent disclosure." Federal Rule of Evidence, Rule 502, comments.
© LeClairRyan PC 2011 Disability Rights Counsel Facts: – Information Deleted During Litigation – Requesting Party Asks for Backup Tapes Magistrate Judge John Facciola: – Suggested Concept Searching In Addition to Traditional Search Terms Disability Rights Counsel of Greater Wash. v. Wash. Metro. Transit Auth., 242 F.R.D. 139 (D.D.C. 2007).
© LeClairRyan PC 2011 Victor Stanley Facts: – 165 Purportedly Privileged Documents Produced – Allegation of Privileged Waiver Magistrate Judge Paul Grimm: – Keyword Search Terms are a Useful Tool – There is a Danger in Using Search Terms Incorrectly – Important to Use Statistical Sampling to Validate Victor Stanley, Inc. v. Creative Pipe, Inc., 250 F.R.D. 251 (D. Md. 2008).
© LeClairRyan PC 2011 Dilley Court must limit discovery if it determines that the burden or expense of the proposed discovery outweighs its likely benefit. Dilley v. Metropolitan Life Ins. Co., 256 F.R.D. 643, 644 (N.D. Cal. 2009)
© LeClairRyan PC 2011 Daugherty Facts – Plaintiff Requests Data Extract Costing $100,000 – Defendant Counters With a $36,000 Extract Held – Court Agreed With Defendants Cheaper Proposal – Plaintiff Could Not Demonstrate Their Proposal Was Dramatically Different Daugherty v. Murphy, 2010 WL (S.D. Ind. Nov. 2, 2010).
© LeClairRyan PC 2011 Wood Facts – Parties Engaged in Considerable Discovery – Plaintiff Requested Defendant Run Search Terms on 45 Custodians Data: Result 1,753,537 Documents Held – Court Relied on Rule 26(b)(2)(C)(iii) in Issuing a Protective Order Based on questionable relevance Wood v. Capital One Svcs., LLC, 2011 WL , (N.D.N.Y. Apr. 15, 2011).
© LeClairRyan PC 2011 Da Silva Moore v. Publicis Groupe This judicial opinion now recognizes that computer-assisted review is an acceptable way to search for relevant ESI in appropriate cases. The technology exists and should be used where appropriate, but it is not a case of machine replacing humans: it is the process used and the interaction of man and machine that the court needs to examine. Da Silva Moore v. Publicis Groupe, Case No. 11 Civ (S.D.N.Y. Feb. 24, 2012)
© LeClairRyan PC 2011 Da Silva Moore Key Takeaways Process Transparency Proportionality Cooperation Competence
© LeClairRyan PC 2011 Kleen Products v. Packaging Corp. Can the producing party be required to use predictive coding? – Compare Da Silva – parties agreed to use but not protocol Is keyword searching dead, as plaintiffs appear to contend? Hearings to continue in coming weeks
© LeClairRyan PC 2011 Other Cases Ford Motor Co. v. Edgewood Properties, Inc., 2009 WL (D.N.J. May 19, 2009) In re Exxon Corp., 208 S.W.3d 70; 2006 Tex. App. LEXIS 8768 (October 12, 2006) Datel Holdings v. Microsoft Corp.; 2011 U.S. Dist. LEXIS ( N.D. Cal. Mar. 11, 2011) Multiven, Inc. v. Cisco Systems, 2010 WL (N.D. Cal. July 9, 2010)
© LeClairRyan PC 2011 Making it Work Rule 26(f) Meet & Confer – Discuss review methodology – Transparency about the process – Consider joint sampling review
© LeClairRyan PC 2011 Making it Work Staffing Understand Pricing Selecting a Vendor / Technology Defining Success Overcoming Objections
© LeClairRyan PC 2011 Making it Work Prepare for Review – Develop Review Plan Coding Form Workflow Functionality Batching Duplicate and Near-Duplicate Identification Clustering Threading Concept Searching – Finalize Document Coding Guidelines
© LeClairRyan PC 2011 Making it Work Quality Control Throughout the Process – Garbage in, garbage out – quality of initial attorney coding for system training is critical – Consistency – replication of the good and bad coding decisions – QC documents left behind – is the non-relevant set truly non-relevant? – Thorough understanding of Risk Tolerance in the case – Experienced project management
Planning and Preparation for Litigation in the Large Corporate Environment Under the New Federal Rules James M. [Jim] Wright, P.E. Wright Consulting LLC.
1 Amendments to the Federal Rules Electronic Discovery Dino Tsibouris (614)
© 2010 Smith Moore Leatherwood LLP. ALL RIGHTS RESERVED. The Insiders View On E-Discovery In North Carolina Robert R. Marcus Jon Berkelhammer Smith Moore.
In a time of dramatic change it is the learners who inherit the future. The learned usually find themselves equipped to live in a world that no longer.
The Federal Civil Rules & Electronic Discovery: What's It to Me? 2007 Legal Breakfast Briefing Presented to Employers Resource Association by Robert Reid,
LITIGATING IN THE CLOUD THE SEDONA CONFERENCE GUIDELINES AND PRACTICAL PRECEDENTS FOR E-DISCOVERY LEXPERT CLOUD COMPUTING CONFERENCE 2012 CLOUD COMPUTING:
Introduction Principle 3: Disclosure Principle 3: Disclosure Principle 2: Plea agreements Principle 2: Plea agreements Very High Cost Cases: A guide to.
The ROI of Analytics Scott W. Lombard, SME Senior Vice President – Litigation Management Rust Consulting Inc.
Sales Order Cycle Review Report Insert Date. Source: 2 Table of Contents Executive Summary 3 Objective, Scope & Procedures Performed4.
1 © Copyright 2009 EMC Corporation. All rights reserved. Electronic Discovery & Compliance: Meeting the Challenges - Avoiding a Trial by Fire…. Timothy.
Data Privacy in the EU and How It Impacts Firms in the U.S. Presentation to ILTA Conference August 23, 2007 Debra L. Bromson, Esq. Jeff D. Isenberg Shalini.
Recovering,Examining and Presenting Computer Forensic Evidence in Court By malack Amenya.
Call Recording Made Easy Presented by Barbara Courneya National Director of Contact Center Technology Avaya Certified Contact Center Expert ,
Translation Quality Measurement By Riccardo Schiaffino and Franco Zearo.
© 2009 Kroll Ontrack Inc. | Hello IT, Its Legal Calling April 14, 2009.
Manage e-Project Information. Use of the Guide This guide sets out to provide a framework tool to assist e-Project information users. The object of the.
SharePoint Governance Questions January 2014 ©2014 SUSAN HANLEY LLC.
For OWGV Meeting #1, 2006 June, Washington, DC, USA 1D Terms of Reference: ISO/IEC Project , Guidance to Avoiding Vulnerabilities in Programming.
1 Implementation of Application Portfolio Management Overview July 2006.
The e-Discovery Easy Button Keri Farrell Product Manager, e-Discovery Quest Software.
10-1 McGraw-Hill/Irwin Copyright © 2007 by The McGraw-Hill Companies, Inc. All rights reserved.
McGraw-Hill/Irwin © The McGraw-Hill Companies 2010 Audit Sampling: An Overview and Application to Tests of Controls Chapter Eight.
PLANNING THE AUDIT Individual audits must be properly planned to ensure: Appropriate and sufficient evidence is obtained to support the auditors opinion;
1 Assessing Evidence Reliability In Performance Audits NSAA April 14, 2008.
The External Auditors Perspective and use of Internal Audit Brent Currey Live Seminar 9:00am – 4:30pm October 12, 2011 Relationships backed by performance.
Guidelines For Site Management Approaches Floyd Homer WCPA-Caribbean & SUSTRUST.
Whos Afraid of E-Discovery? Cautionary Tales Every CIO and Every IT Person Need to Know to Survive into FY08... and Beyond IT Quarterly Forum GSA Central.
Research Process, Research Design and Questionnaires.
© 2016 SlidePlayer.com Inc. All rights reserved.