Jul 18, 2025  
2024-2025 Course Catalog 
    
2024-2025 Course Catalog [ARCHIVED CATALOG]

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PRL 123 - Legal Tech and eDiscovery II

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 eDiscovery process. Helpful for technical practitioners and legal assistants, this course explains legal requirements, appropriate protocol and common expectations for eDiscovery implementation.
Prerequisite: PRL 104  
Competencies
  1. Examine eDiscovery issues and explain the legal requirements
    1. Contrast process models for eDiscovery
    2. Describe the EDRM model
  2. Cite Federal Rules of Civil Procedure pertaining to eDiscovery
    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 eDiscovery
    1. Discuss the differences and similarities with the FRCP
    2. Describe pertinent Iowa case law regarding eDiscovery
  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 eDiscovery 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
  11. Summarize the different types of document reviews
    1. Describe the different types of reviews and how they impact the processing and batching of data
    2. Discuss the concepts of TAR and TAR2
  12. Describe the different types of analytics options in document review platforms
    1. Describe concept mapping
    2. Describe email threading
    3. Describe other types of analytics
  13. Describe the different methods of production and their strengths and weaknesses
    1. Identify what documents filed in the litigation dictate the requirements
    2. Summarize native production
    3. Describe near native production
    4. Describe a load file

 
Competencies Revised Date: AY2025



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