eDiscovery
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Module 5

Analytics and Technology-Assisted Review

  • Define technology assisted review.
  • Define the goals of attorney document review and consider how Technology-Assisted review impacts those goals.
  • Understand linear review v. predictive coding.
  • Consider relevant case law with reference to predictive coding.
  • Understand the types of technology-assisted review, including underlying technology, advantages/disadvantages of each approach.
  • Learn the differences between unsupervised and supervised machine learning (e.g., unsupervised examples are email threading, near-duplicate detection, clustering; supervised example is predictive coding).
  • Identify a sampling of available TAR tools, how they differ, and when to use them.
  • Learn the essential steps of developing a process and workflow.
  • Gain working knowledge of key TAR metrics, quality control, and statistical sampling techniques.

 

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