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Anthropomorphizing the Algorithm: Animism in the Age of AI

In many ancient cultures people believed that everything had a spirit. Each human, animal, plant, and even each rock and bolt of lightning were understood as we understand ourselves. If we eat because we feel hunger, so must...more

There Is No One Size Fits All Sample Size Appropriate for TAR Validation (Part II)

In the first part of this piece I pointed out why it can be difficult to validate TAR using control set metrics. When the overall proportion of responsive documents is very low, it becomes increasingly burdensome to randomly...more

There Is No One-Size-Fits-All Sample Size Appropriate for TAR Validation (Part I)

At some point eDiscovery practitioners seem to have tacitly agreed that sample sizes for TAR validation testing should generally be taken using a 95% confidence level (CL) and, usually, a 2% to 5% confidence interval (CI)....more

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