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Legal Tech: The 2019 EDRM TAR Guidelines — Recognizing the Evolving Role of the Subject Matter Expert
After reading the new Technology Assisted Review (TAR) Guidelines from EDRM, it is clear that the evolution of the underlying technology in TAR solutions is reshaping the role of the subject matter expert (SME). While the Guidelines maintain the role of the SME — typically an experienced (and expensive) attorney most familiar with the project's subject matter — in ensuring reviewer accuracy and assisting in training the model, they also acknowledge the emergence of new technologies which can reduce the burden on the SME.
Newer active learning solutions allow for a continuous training of the model through a prioritized review. This spares the SME the review of multiple training and QC rounds associated with TAR 1.0 solutions, and allows more time for more targeted training. TAR 1.0 solutions can take more time to train the model, whereas the training of the active learning model begins after reviewing a smaller threshold amount of documents.
Training sets, traditionally a TAR 1.0 feature, are offered with some active learning solutions. These allow the SME to elevate training through an isolated review of conceptually-rich key documents, while the review team focuses on the prioritized review queue. The training set can either be a completely randomized sample across the corpus, or a seed set supplemented with a randomized sample. This approach aims to minimize bias while still injecting richness in the sample.
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Major Differences In UK, U.S. Copyright Laws
This article highlights how copyright law in the United Kingdom differs from U.S. copyright law, and points out differences that may be crucial to entertainment and media businesses familiar with U.S law that are interested in operating in the United Kingdom or under UK law. The article also briefly addresses contrasts in UK and U.S. trademark law.
The Article 8 Opt In
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