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PODCAST · 23 MARCH 2026

We Get Privacy For Work — Episode 14: AI Exacerbates Data Minimization Challenges (Podcast)

Jackson Lewis P.C.
Jackson Lewis P.C.
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Jackson Lewis P.C.

Jackson Lewis P.C.

Focused on labor and employment law since 1958, Jackson Lewis P.C.’s 950+ attorneys located in...

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As AI tools, workplace monitoring technologies, and data‑driven platforms expand, organizations face growing exposure from collecting...

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As AI tools, workplace monitoring technologies, and data‑driven platforms expand, organizations face growing exposure from collecting, sharing, and retaining more data than they need for defined purposes. In this episode of We get Privacy for work, Jackson Lewis Principals Joe Lazzarotti and Damon Silver, co‑leaders of the firm’s Privacy, AI, and Cybersecurity group, break down the data minimization principle and how organizations can use it to better manage data breach, class action litigation, and regulatory risk.

Transcript

Joe Lazzarotti

Principal, Tampa

Welcome to the We Get Privacy podcast. I'm Joe Lazzarotti, and I'm joined by my co-host, Damon Silver. Damon and I co-lead the Privacy, AI, and Cybersecurity group at Jackson Lewis. In that role, we receive a variety of questions every day from our clients, all of which boil down to the core question of how we handle our data safely. In other words, how do we leverage all of the great things data can do for our

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