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The AI Workplace: Legal Considerations for Deploying AI Notetakers

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Manage episode 515072647 series 2403182
Content provided by Ogletree Deakins. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ogletree Deakins or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

In this episode of The AI Workplace podcast series, Sam Sedaei (associate, Chicago) is joined by Simone Francis (office managing shareholder, St. Thomas; shareholder, New York) to unpack what AI notetakers are and the legal risks they raise at work, including all‑party consent, privacy and notice obligations, privilege and trade secrets, NLRA considerations, transcript access/retention, and litigation holds. The speakers also discuss vendor due diligence, limits on training data, security controls, and how to craft clear, balanced policies tailored to different use cases and audiences.

  continue reading

101 episodes

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iconShare
 
Manage episode 515072647 series 2403182
Content provided by Ogletree Deakins. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ogletree Deakins or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

In this episode of The AI Workplace podcast series, Sam Sedaei (associate, Chicago) is joined by Simone Francis (office managing shareholder, St. Thomas; shareholder, New York) to unpack what AI notetakers are and the legal risks they raise at work, including all‑party consent, privacy and notice obligations, privilege and trade secrets, NLRA considerations, transcript access/retention, and litigation holds. The speakers also discuss vendor due diligence, limits on training data, security controls, and how to craft clear, balanced policies tailored to different use cases and audiences.

  continue reading

101 episodes

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