Flashcards on Revenue Models and Pricing Strategies
Revenue Models and Pricing Strategies: A Student's Guide
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Document Review
15 cards
Card 1
Question: What is the primary goal of document review in a legal or compliance context?
Answer: To identify, collect, and assess relevant documents for responsiveness, privilege, and confidentiality to support a case or investigation.
Card 2
Question: What are the typical stages of a document review workflow?
Answer: Identification and collection, processing, culling/deduplication, review (responsiveness and privilege), quality control, and production or reporting.
Card 3
Question: What does 'responsiveness' mean when reviewing documents?
Answer: Whether a document relates to the issues, requests, or scope defined for the matter and should be produced or retained for the case.
Card 4
Question: How is privilege handled during document review?
Answer: Reviewers must identify privileged communications (e.g., attorney-client, work product) and log them so they are withheld from production, often using
Card 5
Question: Why is deduplication important in document review?
Answer: Deduplication reduces reviewer workload by removing identical copies, ensuring consistent coding and saving time and cost.
Card 6
Question: What is the purpose of a privilege log?
Answer: To document withheld privileged materials with enough detail (date, author, recipients, subject) to justify withholding without revealing privileged c
Card 7
Question: Name a common quality control practice used during document review.
Answer: Second-pass review or sample checks where a subset of reviewed documents is rechecked for consistency and accuracy.
Card 8
Question: How can technology assist document review?
Answer: By enabling efficient search, email threading, deduplication, analytics, and predictive coding to prioritize relevant documents.
Card 9
Question: What is email threading and why is it useful?
Answer: Grouping related email messages into a single thread to reduce duplicate review and provide context for communications.
Card 10
Question: What is predictive coding (technology-assisted review) at a basic level?
Answer: Using machine learning to rank or classify documents by relevance based on reviewer training, to focus human review on likely responsive documents.