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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