Dear Demythigator: Will using AI/ML replace my entire review team?
Artificial Intelligence (AI) and Machine Learning (ML) are designed to augment what review teams can do, not replace them entirely. Review is still required in AI/ML workflows, but is focused on data more likely to be relevant so that less time is spent reviewing non-relevant information. AI/ML can help the review team find relevant data faster by having the review team review the most relevant data first, as compared to a traditional linear review. AI/ML can often even help the review team find potentially relevant data with more speed than custodial, date, or keyword-based prioritizations that are sometimes employed to expedite linear review. By design, AI/ML typically reduces (sometimes quite considerably) the amount of time the review team spends reviewing non-relevant data. This allows the review team to re-allocate review resources to higher value-added tasks such as case strategy or further fact development or additional types of investigatory review.
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