The New Co-Worker: Legal Challenges of Generative AI in the Workplace-The New Co-Worker: Legal Challenges of Generative AI in the Workplace

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Video Summary

The presentation introduced artificial intelligence in the labor and employment context, with a focus on how lawyers and employers can use AI responsibly. It explained two main categories: predictive AI, which forecasts outcomes or classifies information, and generative AI, which creates new content such as drafts, summaries, or suggested questions. Large language models were described as statistical systems that predict likely next words rather than truly “understanding” language.<br /><br />The speakers emphasized what AI can do well today, including drafting documents, summarizing large volumes of information, answering questions, and automating routine tasks. They also stressed what AI cannot do: practice law, accept responsibility, or reliably fact-check itself. A major warning was the risk of hallucinations, where AI produces confident but false information, especially citations. Lawyers were urged to verify every AI-generated citation and work product.<br /><br />The discussion then shifted to why AI matters. Employers are rapidly adopting AI for recruiting, onboarding, productivity tracking, and other business functions, while employees are using it personally and at work. This raises concerns about discrimination, confidentiality, intellectual property, surveillance, and data security. The presenters referenced current litigation involving AI-based hiring tools and noted that courts and regulators are already responding. Examples included a sanctions case involving fabricated citations and an expert-witness ruling rejecting AI-based calculations that could not be explained.<br /><br />Finally, the speakers reviewed legal and ethical considerations for attorneys, including client disclosure, supervision, security review, privilege protection, and vendor due diligence. They recommended using licensed enterprise tools, reading contracts carefully, training users, and implementing clear internal AI policies.

Keywords

artificial intelligence

employment law

generative AI

predictive AI

large language models

hallucinations

AI ethics

hiring tools

legal compliance

vendor due diligence