Mar 29, 2024  
2021-2022 Course Catalog 
    
2021-2022 Course Catalog [ARCHIVED CATALOG]

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NET 183 - E-Discovery - Concepts

Credits: 3
Lecture Hours: 3
Lab Hours: 0
Practicum Hours: 0
Work Experience: 0
Course Type: Voc/Tech


This course provides an overview of the E-discovery process.  Helpful for technical practitioners and legal assistants, this course explains legal requirements, appropriate protocol and common expectations for e-discovery implementation. 
Competencies

  1. Examine E-discovery issues and explain the legal requirements. 
    1. Contrast process models for e-discovery 
    2. Describe the EDRM model 
  2. Cite Federal Rules of Civil Procedure pertaining to e-discovery 
    1. Describe the main impact of Zubulake v. UBS Warburg LLC  
    2. Discuss the changes to the FRCP 
  3. Cite State of Iowa Rules of Civil Procedure pertaining to e-discovery 
    1. Discuss the differences and similarities with the FRCP 
    2. Describe pertinent Iowa case law regarding E-Discovery 
  4. Summarize the litigation process. 
    1. Identify the importance of a “meet and confer” 
    2. Describe the components of a hold notice 
  5. Characterize the appropriate steps for case assessment. 
    1. Define and determine data custodian(s). 
    2. Describe relevant interview techniques and e-discovery specific motivations. 
    3. Identify common sources of data. 
  6. Distinguish the basic functions of computer servers 
    1. Describe common types of services including e-mail, web, file, and databases. 
    2. Describe common types of data including e-mail, web, source code, documents, and graphics. 
  7. Examine the concepts of corporate data mapping 
    1. Identify the main sources of ESI 
    2. Identify who should be interviewed to locate ESI 
    3. Describe the questions that should be asked 
  8. Describe data preservation options. 
    1. Discuss how ESI can be preserved 
    2. Describe the instances of when to collect and when not to 
  9. Summarize data collection procedures. 
    1. Describe functional benefits of full disk imaging. 
    2. Discuss the functional benefits of selective data acquisition. 
  10. Summarize data processing procedures. 
    1. Describe the process of case-specific data culling. 
    2. Discuss the practice of targeted keyword searching.

Competencies Revised Date: 2019



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