Lesson 235 of 1550
AI-Assisted Document Review for Discovery: TAR 2.0 and Beyond
Technology-Assisted Review (TAR) has been around for a decade. Modern LLMs change the game — but courts still expect defensible methodology.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1The premise
- 2TAR
- 3predictive coding
- 4discovery
Concept cluster
Terms to connect while reading
Section 1
The premise
LLM-based review is dramatically faster than TAR 1.0 — but defensibility requires the same methodology rigor courts have always demanded.
What AI does well here
- Establish a documented review protocol before deployment (not after a Rule 26 challenge)
- Maintain a control set of human-coded documents to validate AI accuracy
- Run accuracy testing per responsiveness category, not just overall
- Document privilege identification methodology separately — courts scrutinize this most
What AI cannot do
- Substitute for attorney review of privileged documents (privilege determinations remain attorney work)
- Make the responsiveness call on close-call documents
- Replace the meet-and-confer process where TAR methodology is disclosed
Key terms in this lesson
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