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Dec 26, 2024
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NET 187 - E-Discovery III - Data Prod Credits: 3 Lecture Hours: 1 Lab Hours: 4 Practicum Hours: 0 Work Experience: 0 Course Type: Voc/Tech This course focuses on the aspects of post-acquisition, data processing as part of e-discovery implementations. Additional consideration is given to review and reporting as well as testimony expectations surrounding the e-discovery process. Prerequisite: NET 186 Competencies
- Compare and contrast the different output methods of processed data.
- Discuss the pros and cons of various production types.
- Compare and contrast TIFF, PDF, or Native output formats.
- Demonstrate the production of responsive data
- Characterize the document manage process for big data
- Explain page marking and Bates stamps
- Discuss proper document management practice
- Explain the review process.
- Describe how to set review criteria.
- Explain implementation of online review.
- Describe review methods for both adversarial parties
- Examine the iterative nature of the entire process
- Discuss the instances of recalling and process needed after review
- Demonstrate the practices of re-cycling through the processing, producing, and reviewing steps
- Assess the final production of the responsive data
- Describe the quality assurance measures of production data
- Apply the quality assurance practices to produce responsive data.
- Examine the expert testimony expectations regarding the e-discovery process.
- Discuss the FRCP requirements for expert testimony
- Construct a proper curriculum vitae
- Demonstrate competency in explaining steps in management and production of responsive data
- Assess case data management post production
- Discuss backup methods
- Describe data retention methods
- Explain data destruction methods
Competencies Revised Date: 2019
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