Litigation & Appeals

Cost-Effective E-Discovery Solutions for Solo and Small Firms

Credits Available
Credit Status Total
Alaska CLE Approved 1.5 Total
Alabama CLE Approved 1.5 Total
Arkansas CLE Approved 1.5 Total
Arizona CLE Approved 1.5 Total
California CLE Approved 1.5 Total
Colorado CLE Approved 2 Total
Connecticut CLE Approved 1.5 Total
Delaware CLE Approved 1.5 Total
Florida CLE Approved 2 Total
Georgia CLE Approved 1.5 Total
Hawaii CLE Approved 1.5 Total
Idaho CLE Approved 1.5 Total
Illinois CLE Approved 1.5 Total
Kansas CLE Upon Request 1.5 Total
Kentucky CLE Upon Request 1.5 Total
Maine CLE Approved 1.5 Total
Minnesota CLE Approved 1.5 Total
Missouri CLE Approved 1.8 Total
Northern Mariana Islands CLE Approved 1.5 Total
Montana CLE Upon Request 1.5 Total
North Dakota CLE Upon Request 1.5 Total
Nebraska CLE Approved 1.5 Total
New Hampshire CLE Approved 1.5 Total
New Mexico CLE Approved 1.5 Total
Nevada CLE Approved 1.5 Total
New York CLE Approved 1.5 Total
Ohio CLE Approved 1.5 Total
Oklahoma CLE Approved 2 Total
Oregon CLE Approved 1.5 Total
Pennsylvania CLE Approved 1.5 Total
Rhode Island CLE Upon Request 1.5 Total
South Carolina CLE Approved 1.5 Total
Tennessee CLE Approved 1.5 Total
Utah CLE Approved 1.5 Total
Vermont CLE Approved 1.5 Total
Washington CLE Approved 1.5 Total
Wisconsin CLE Approved 1.5 Total
West Virginia CLE Approved 1.8 Total
OnDemand
1 hours 30 minutes
Melissa Dalziel
With Melissa Dalziel from Alston & Bird LLP
Recorded December 11, 2024
Product ID 99523

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$229

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Overview

Finding a Method to the Madness: Affordable Yet Effective Discovery

Tired of navigating the sea of e-discovery software? Do you want to streamline your approach with minimal reliance on third parties? This course will prepare you for e-discovery that steers clear of costly methods for research and allows for a custom approach to your firm’s goals. Join our established faculty to learn about parsing complicated data, utilizing AI resources, and boosting file security. Register today!

  • Understand the effect of AI on e-discovery and the organization of data.
  • Learn how best to organize and store data according to project-specific goals.
  • Prepare for the transfer of data from the digital to physical realm.

Abbreviated Agenda

  1. Negotiating E-Discovery Protocols
  2. Advanced Search Techniques
  3. Cost Reduction via AI and Machine Learning
  4. Efficient Data Collection and Preservation
  5. Data Storage Opportunities and Organization
  6. Security Best Practices in the Cloud and Elsewhere
  7. Review and Production Tips
  8. Transferring From Digital to Physical Media

Related Topics

Product ID 99523

Credit Details

Credits Available
Credit Status Total
Alaska CLE Approved 1.5 Total
Alabama CLE Approved 1.5 Total
Arkansas CLE Approved 1.5 Total
Arizona CLE Approved 1.5 Total
California CLE Approved 1.5 Total
Colorado CLE Approved 2 Total
Connecticut CLE Approved 1.5 Total
Delaware CLE Approved 1.5 Total
Florida CLE Approved 2 Total
Georgia CLE Approved 1.5 Total
Hawaii CLE Approved 1.5 Total
Idaho CLE Approved 1.5 Total
Illinois CLE Approved 1.5 Total
Kansas CLE Upon Request 1.5 Total
Kentucky CLE Upon Request 1.5 Total
Maine CLE Approved 1.5 Total
Minnesota CLE Approved 1.5 Total
Missouri CLE Approved 1.8 Total
Northern Mariana Islands CLE Approved 1.5 Total
Montana CLE Upon Request 1.5 Total
North Dakota CLE Upon Request 1.5 Total
Nebraska CLE Approved 1.5 Total
New Hampshire CLE Approved 1.5 Total
New Mexico CLE Approved 1.5 Total
Nevada CLE Approved 1.5 Total
New York CLE Approved 1.5 Total
Ohio CLE Approved 1.5 Total
Oklahoma CLE Approved 2 Total
Oregon CLE Approved 1.5 Total
Pennsylvania CLE Approved 1.5 Total
Rhode Island CLE Upon Request 1.5 Total
South Carolina CLE Approved 1.5 Total
Tennessee CLE Approved 1.5 Total
Utah CLE Approved 1.5 Total
Vermont CLE Approved 1.5 Total
Washington CLE Approved 1.5 Total
Wisconsin CLE Approved 1.5 Total
West Virginia CLE Approved 1.8 Total
Select Jurisdiction
CLE

Agenda

All times are shown in

  1. Cost-Effective E-Discovery Solutions for Solo and Small Firms

    1. Negotiating E-Discovery Protocols
    2. Advanced Search Techniques
    3. Cost Reduction via AI and Machine Learning
    4. Efficient Data Collection and Preservation
    5. Data Storage Opportunities and Organization
    6. Security Best Practices in the Cloud and Elsewhere
    7. Review and Production Tips
    8. Transferring From Digital to Physical Media

Who Should Attend

This course is designed for attorneys. Paralegals may also benefit.

Speakers

Melissa Dalziel
Melissa
Dalziel
Alston & Bird LLP
Speaker bio
Melissa Dalziel

Melissa Dalziel

Alston & Bird LLP
Melissa Dalziel

is an attorney at Alston and Bird LLP. She is a member of Alston Discovery, the firm's e-discovery team, and manages large teams during all stages of discovery and trial preparation. Ms. Dalziel has overseen discovery in a wide range of intellectual property and commercial disputes, including patent, trademark, copyright, unfair competition, fraud, breach of contract, RMBS, securities, and financial services. She prepares discovery budgets and develops procedures and protocols for the collection and review of massive quantities of documents. Her work includes negotiating search terms, TAR protocols, and ESI protocols; hiring, training, and managing review teams; and implementing quality controls. She uses, and trains teams regarding the use of, analytic applications such as concept clustering and technology assisted review to reduce costs and identify key documents. She has conducted PII/GDPR reviews on behalf of European clients suing in U.S. courts and clients that have experienced data breaches. She advises clients and attorneys on legal developments and best practices in document preservation, collection, searching, filtering, and data privacy. In a former role, she assisted in the review and assessment of more than 20 generative AI legal tools being considered for the firm's use. She has conducted extensive trials of four tools, using them on live cases, and is working with three providers to assist in developing their tools. She advises clients regarding the development of AI use policies. She earned her B.A degree from University of Toronto and her J.D. degree from Brigham Young University.

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