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The Hidden Risks of AI Note-taking
In this webinar, Jennifer B. Rubin and Emma Follansbee examine the growing use of AI-powered meeting assistants and automated note-taking tools in the workplace, highlighting the legal, compliance, and operational risks these technologies can create. The presenters discuss key considerations related to privacy, consent, attorney-client privilege, data security, and litigation exposure, as well as the distinctions between enterprise and third-party AI tools. They also offer practical guidance on developing policies, managing vendor relationships, and implementing responsible governance practices to help organizations mitigate the risks associated with AI-generated meeting records.
California’s AI-in-the-Workplace Legislative Blitz: California Legislature Passes Four New Bills That May Affect Employers
In this client alert, Jennifer B. Rubin and Brody Zaugg examine four California AI-related employment bills that could impose new obligations on employers using artificial intelligence and workplace monitoring technologies. The proposed legislation would regulate automated decision systems in employment decisions, require additional disclosures for AI-related workforce reductions, restrict the use of emotion-recognition and neural data technologies, and limit workplace surveillance practices. The authors outline the bills’ key requirements and offer practical guidance for employers preparing for increased oversight of AI-powered workplace tools.
Mintz On Air: Practical Policies — Trust, Tone, and Trade-Offs: Negotiating Contracts in the AI Age
In this episode of Mintz On Air: Practical Policies, Jen Rubin and Tali Tuchin discuss the growing role of AI in commercial contract negotiations, highlighting both its efficiencies and limitations. They explore how AI can streamline contract review, drafting, and issue spotting, while emphasizing that human judgment remains essential for assessing legal and business risk, navigating negotiation dynamics, building trust, and crafting practical solutions. The conversation offers guidance on using AI as a tool to enhance, rather than replace, the experience and judgment that drive successful negotiations.
Mintz On Air: Practical Policies — The Risks of AI Prompt Injections in the Workplace
AI prompt injections are an emerging workplace risk that can manipulate AI-driven hiring and decision-making systems using hidden instructions embedded in otherwise ordinary documents. In this Mintz On Air podcast, employment attorneys Jen Rubin and Kevin Kim discuss how candidates can game AI tools through prompt and data injections, the security and confidentiality risks posed by unauthorized AI use, and practical steps employers can take, including human oversight, employee training, vendor diligence, and stronger AI governance.
Mintz On Air: Practical Policies — Taking Your Candidates to the Vet
As candidate screening becomes more complex with the rise of AI-generated applications, deepfakes, and evolving background check regulations, employers must balance effective vetting with legal compliance. This article discusses common screening pitfalls, key requirements under federal, state, and local laws, and practical strategies for designing background check processes that mitigate hiring risks while ensuring fair and individualized candidate assessments.
Mintz On Air: Practical Policies — Real vs. Robot: Bots in the Boardroom
As artificial intelligence becomes more integrated into corporate decision-making, boards must balance the benefits of AI with their fiduciary obligations to shareholders. While AI can enhance efficiency, research, and strategic analysis, it cannot replace the human judgment, accountability, and oversight required of board members. This article explores the legal, governance, and confidentiality risks associated with AI in the boardroom and highlights practical considerations for developing policies that support responsible AI use.
Don’t Tank Your Valuation: IP Mistakes AI Founders Make Before Exit
You built something real. Now you want to get paid: whether through acquisition, fundraise, or IPO. But a few preventable mistakes can crater your valuation or kill a deal entirely. Here’s what to lock down before anyone runs diligence on your company. Address these items at the outset before they become obstacles, to see your efforts pay dividends at the conclusion.
Patenting Considerations for Artificial Intelligence in Biotech and Synthetic Biology
By Terri Shieh-Newton, PhD, and Marguerite McConihe
Artificial Intelligence (AI) inventions have aided development in nearly every industry, but perhaps none more so than synthetic biology. For synthetic biology researchers, AI has developed into a vital tool to create cutting edge applications.
Recap of Federal Register Notice on Artificial Intelligence (AI) Patent Issues
By Marc T. Morley, Michael T. Renaud, Paul S. Brockland
Artificial Intelligence (AI) is increasingly becoming important across a diverse spectrum of technologies and businesses. As AI grows in importance in business and technology, so too grows the number of patent applications and the potential for uncertainty.
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