As data volumes, velocity and types continue to exponentially increase, many of the traditional e-discovery processes have become overstretched.

Panelists at the “Revolutionizing e-Discovery Again?: Harnessing the Power of Portable Active Learning Models” ILTACON 2023 session on Wednesday introduced alternatives to technology assisted review (TAR) and continuous active learning (CAL) made possible by advances in technology. Specifically, they pointed to portable artificial intelligence (AI) models as the next iteration of tools for e-discovery professionals to consider in the age of data abundance.

What Are Portable Models?

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