HomeWebcastPredictive Coding in e-Discovery: How to Make it Work to Your Advantage
Predictive Coding in e-Discovery CPE CLE

Predictive Coding in e-Discovery: How to Make it Work to Your Advantage

Live Webcast Date: Tuesday, August 02, 2016 at 12:00 pm - 2:00 pm (ET)
LegalRecording

Predictive Coding in e-Discovery CPE

Join us for this Knowledge Group Predictive Coding in e-Discovery CPE Webinar. Predictive coding is the use of software program to identify relevant documents for a particular case or issue. It is a system that involves a machine learning process and applies complex algorithms to analyze data, review decisions for risk assessment, and make future predictions. The rise of predictive coding is dramatically reducing costs and time usually involved in electronic discovery. It also minimizes inconsistencies in large document review, helps identify more relevant documents, and substantially reduces risks of false accusations.

However, despite the numerous advantages, predictive coding is not yet considered as a standard practice. Thus, it is essential for companies to make sure that their predictive coding program is carefully crafted to meet specific challenges that may arise.

In this Webcast, a panel of thought leaders, practitioners and professionals brought together by The Knowledge Group will help the audience in identifying key considerations when using predictive coding in their electronic discovery process. Speakers will go beyond the basics and provide the audience with the best practices in minimizing costs and increasing eDiscovery efficiencies through predictive coding.

Key topics include:

  • The Primary Drivers of E-Discovery Production Costs
  • Why a Sea Change in Litigant Approaches to E-Discovery is Needed
  • How Can Predictive Coding Help to Reduce E-Discovery Costs
  • Why Doesn’t Everyone Use Predictive Coding?
  • Recent Decisions Impacting Discovery: How the Courts View Analytics
  • The Proper Case for Analytics
  • Selling Analytics to your clients

Who Should Attend

  • E-Discovery Attorneys
  • Trial and Litigation Attorneys
  • Legal Counsel
  • Legal Risk Officers and Administrators
  • Records & Information Directors and Managers
  • Data Management Officers
  • IT Professionals
  • Other Interested Professionals

Faculty

Predictive Coding in e-Discovery CPE
Howard P. Goldberg
Partner
Manion Gaynor & Manning LLP
Predictive Coding in e-Discovery CPE
Nicholas M. Pace
Staff Social Scientist
RAND Corporation

Click Here to Read Additional Material

Predictive Coding in e-Discovery CPE

SEGMENT 1: 
Nicholas M. Pace, Staff Social Scientist
RAND Corporation

  • The Primary Drivers of E-Discovery Production Costs
  • Why a Sea Change in Litigant Approaches to E-Discovery is Needed
  • How Can Predictive Coding Help to Reduce E-Discovery Costs
  • Why Doesn’t Everyone Use Predictive Coding?

SEGMENT 2: 
Howard P. Goldberg, Partner
Manion Gaynor & Manning LLP

  • Recent Decisions Impacting Discovery: How the Courts View Analytics
  • The Proper Case for Analytics
  • Selling Analytics to your clients

Predictive Coding in e-Discovery CPE

Predictive Coding in e-Discovery CPE

Howard P. GoldbergPartnerManion Gaynor & Manning LLP

Howard P. Goldberg is an experienced trial lawyer who specializes in litigating complex commercial matters. Howard has experience representing clients involved in a wide variety of commercial cases, focusing on contract disputes, environmental litigation and commercial real estate litigation. Howard also has significant experience with a variety of settlement mechanisms, including formal arbitration proceedings and court-assisted mediation programs.

In addition to his case responsibilities, Howard serves on the e-discovery committee for Manion Gaynor & Manning and has significant experience advising clients on e-discovery best practices, including legal holds, data preservation, and data production, working with e-discovery vendors and consultants, and managing e-discovery in anticipation of, during, and after litigation.

Howard is admitted to practice in Massachusetts, the United States District Court for the District of Massachusetts, and the United States Court of Appeals for the First Circuit. He is a member of the American, Massachusetts and Boston Bar Associations. Prior to joining MG&M, Howard was an associate at Foley Hoag LLP in Boston/pro bono housing cases. Howard lives in Marblehead with his wife and two sons.

Predictive Coding in e-Discovery CPE

Nicholas M. PaceStaff Social ScientistRAND Corporation

Nicholas M. Pace, a long-time RAND analyst, has contributed his expertise in justice-related research methodologies to many RAND Institute for Civil Justice (ICJ) projects, most recently leading studies examining expenses incurred during pre-trial discovery involving electronically-stored information and recommending steps to reduce costs; discussing transparency issues in class action settlements; and describing the features of class litigation against insurers.  Other work has included examining the impact of statutory reforms on outcomes in medical malpractice cases; leading a comprehensive study of the California workers' compensation courts; studying class action litigation dynamics and recommending new managerial approaches for judges in such cases; helping to accomplish an in-depth evaluation of the Civil Justice Reform Act of 1990 and its effects on judicial case management, cost, and delay; analyzing punitive damage awards; developing national standards related to electronic filing in the courts; and leading a study of attorney time expenditures for publicly-funded defense counsel in Federal district courts.

Predictive Coding in e-Discovery CPE

Course Level:
   Intermediate

Advance Preparation:
   Print and review course materials

Method Of Presentation:
   On-demand Webcast

Prerequisite:
   NONE

Course Code:
   145429

NASBA Field of Study:
   Specialized Knowledge and Applications

NY Category of CLE Credit:
   Skills

Total Credits:
   2.0 CLE

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About the Knowledge Group

The Knowledge Group

The Knowledge Group has been a leading global provider of Continuing Education (CLE, CPE) for over 13 Years. We produce over 450 LIVE webcasts annually and have a catalog of over 4,000 on-demand courses.

About the Knowledge Group

The Knowledge Group

The Knowledge Group has been a leading global provider of Continuing Education (CLE, CPE) for over 13 Years. We produce over 450 LIVE webcasts annually and have a catalog of over 4,000 on-demand courses.

Founded in 2008 in Portland, Ore., Zapproved Inc. is a pioneer in developing cloud-hosted software for corporate legal departments. The Z-Discovery Platform returns power to in-house corporate legal teams and helps them navigate electronic discovery with minimal risk and cost, and it sets new standards for scalability and intuitive design. The company’s flagship product, Legal Hold Pro, is widely adopted by Fortune 500 and Global 2000 corporations and won the 2016 Legaltech News Innovation Awards for Best E-Discovery Legal Hold Product, and the company was named as a “vendor to watch” in the 2015 Gartner Magic Quadrant for E-Discovery. 

Manion Gaynor & Manning LLP (MG&M) is a national law firm focused on Products Liability and Complex Tort Litigation, and Commercial and Business Litigation with fully integrated offices in Boston, Hattiesburg, Lake Charles, Los Angeles, New Orleans, Providence, San Francisco and Wilmington.

MG&M’s focus on providing strategic, responsive legal counsel in each of firm’s core practices has made the law firm of choice for clients facing high-stakes litigation. Clients value their guidance on sophisticated matters ranging from complex commercial and business disputes, toxic tort and products liability, intellectual property, real estate, employment, to white collar and regulatory matters.

MG&M’s unwavering commitment to excellence is premised on the concept that there is an optimal resolution for every case—whether through voluntary dismissal, summary judgment, reasonable settlement or trial. MG&M’s rapidly assess and efficiently achieve clients’ desired outcome with a streamlined, efficient operating model and a thorough understanding of their specific industry and goals. The firm delivers practical insight on their clients’ most important matters and ensure a successful partnership through a culture of close collaboration.

Website: https://www.mgmlaw.com/

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