February 05, 2026 — In a recent interview with eDiscovery CoCounsel, PLLC, Elevate expert Jeremy Pickens offers clear, practical insight on how AI-driven document review workflows operate, and why understanding those distinctions matters for legal teams and decision-makers as generative AI gains traction in eDiscovery.

Drawing on his experience designing and evaluating AI-assisted review workflows, Jeremy explains the differences between TAR 1.0 and TAR 2.0, approaches, including Continuous Active Learning (CAL), Simple Active Learning (SAL), Simple Passive Learning (SPL), and one-stage versus two-stage review. Rather than treating these concepts as labels, he reframes them as workflow decisions that directly influence accuracy, defensibility, and overall outcomes.

He also cautions against assuming that newer AI approaches automatically represent progress. As legal teams experiment with generative AI for document classification, Jeremy emphasises a continued need for disciplined evaluation.

Listen to the full interview on eDiscovery CoCounsel, here.