Use Case
Facing millions of documents in discovery, a litigation team uses Technology Assisted Review (TAR), often referred to as predictive coding. Senior reviewers code a sample set of documents for relevance. The AI platform learns from these decisions to predict the relevance of the remaining documents, prioritizing the most likely relevant ones for human review. This drastically reduces the volume of documents needing eyes-on review, saving immense time and cost.
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