Emerging Litigation Podcast
Last Days of Patent Eligibility Confusion with Ryan Phelan
In this episode, we discuss the intricate landscape of patent eligibility in the United States, twin patent law decisions from the Supreme Court, and the proposed Patent Eligibility Restoration Act and how -- if passed -- it could unlock new opportunities for innovation amid the challenges posed by judicial exceptions with seasoned patent attorney, Ryan N. Phelan of Marshall Gerstein. Listen now!
IP Protection, Secure Transactions, and Bored Apes: NFTs with Cameron Pick
In this episode, we discuss the evolving landscape of NFTs – or non-fungible tokens – which have taken the digital world by storm – or perhaps just a downloadable picture of a storm – promising to revolutionize not only the way we perceive, protect, purchase, and own digital assets, but how we might even buy a house or other assets in the real world. Guest Cameron Pick of Marshall Gerstein draws on his expertise in intellectual property law to provide insights into the changing dynamics of NFTs and the legal issues that accompany them. Tune in now!
Humans at Work with Leah Stiegler
In this episode, Leah M. Stiegler, principal attorney at Woods Rogers, shares practical solutions for a variety of challenges, like love at work, pregnancy at work, discord at work, harassment at work, and working overtime. She talks about gender identity protections, implicit biases, and microaggressions, plus conducting administrative investigations, and ideas to mitigate risk, stay out of court, and maintain a positive work environment. Enjoy now!
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Journal on Emerging Issues in Litigation
AI Litigation Risks in Employment by Gerald L. Maatman Jr., Alex W. Karasik, and George J. Schaller
The authors, Gerald L. Maatman Jr., Alex W. Karasik, and George J. Schaller analyze two novel AI lawsuits and highlight recent governmental guidance related to AI use in the employment context and the implications of possible discriminatory conduct stemming from the use of AI tools. "AI is here to stay," they write. "Whether companies choose AI technology for any 'employment decision,' companies must keep themselves up to date on any issued guidance and must actively monitor AI tools to prevent any possible discriminatory outputs."
Protecting Policyholders as AI Is Developed for Insurance Claims Handling by Marshall Gilinsky and Madison Marlow
The authors, Marshall Gilinsky and Madison Marlow discuss the integration of artificial intelligence (AI) within the insurance industry and outline the potential consequences of diminished human oversight in AI-driven insurance claims handling, highlighting the need for watchdogs and regulators to demand that AI tools under development afford “explainability” and protect policyholder rights.
Adapting to AI: Taking a Practical Approach to Governance by Blair Robinson
The author, Blair Robinson of Robinson+Cole discusses the need for a practical AI governance framework that businesses must embrace to harness AI’s transformative promise responsibly, encompassing a diligent, strategic, and technically nuanced governance approach. As she notes, "taking a methodical and use-case-driven approach may allow a business to embrace the transformative power of AI in critical areas while managing “wild west”-style use by employees without governance approval".
HB Webinars on the West LegalEdcenter
Copyrightability of AI Generated Work
Take this webinar featuring Perkins Coie LLP attorneys Lisa Ortiz and Sean West to gain a better understanding of the challenge of determining human authorship in AI-generated works, the guidance and disclosure rules established by the Copyright Office, the importance of addressing copyright ownership and usage rights in AI-related license agreements, and the implications of joint ownership of AI models and output. Learn about the categories of work in which AI is being applied in the practice of law, e.g., legal research, document drafting, deposition preparation, and discovery review. Understand the various risks associated with AI, e.g., biased and inaccurate outputs, unauthorized disclosures of private data, and intellectual property infringement. Get an overview of governmental regulation and guidance. Finally, start your journey to develop best practices in establishing AI governance teams and processes with an eye toward complying with regulations and mitigating risk. Check it out!
AI Survival Guide: Best Practices to Mitigate AI Litigation Risk
Organizations using artificial intelligence-based technologies that perform facial recognition or other facial analysis, website advertising, profiling, automated decision making, educational operations, clinical medicine, generative AI, and more, increasingly face the risk of being targeted by class action lawsuits and government enforcement actions alleging that they improperly obtained, disclosed, and misused personal data of website visitors, employees, customers, students, patients, and others, or that they infringed copyrights, fixed prices, and more. These disputes often seek millions or billions of dollars against businesses of all sizes. This webinar identifies recent trends in such varied but similar AI litigation, draws common threads, and discusses best practices that corporate counsel should consider to mitigate AI litigation risk. Our excellent speakers are Jerry Maatman and Justin Donoho of Duane Morris.
Legal Innovation: Choosing the Best AI Tools and Strategies for Success
During this webinar, Robinson+Cole's knowledge management professionals Liz Salsedo and Jim Merrifield help you better understand artificial intelligence and generative AI. Learn about the categories of work in which AI is being applied in the practice of law, e.g., legal research, document drafting, deposition preparation, and discovery review. Understand the various risks associated with AI, e.g., biased and inaccurate outputs, unauthorized disclosures of private data, and intellectual property infringement. Get an overview of governmental regulation and guidance. Finally, start your journey to develop best practices in establishing AI governance teams and processes with an eye toward complying with regulations and mitigating risk.
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