Vermont (VT) Artificial Intelligence CLE Course Catalog

The recent explosion of generative AI has brought with it a complex web of new legal and ethical considerations that lawyers must grapple with. In this session, we will delve into the unique ethical and legal considerations that arise from the use of AI in litigation. We will explore critical areas of concern such as privilege and confidentiality, privacy rights, data security, transparency, algorithmic bias, and liability issues. Our panel of renowned legal tech experts, ethicists, and practicing attorneys will guide participants through real-world scenarios to illustrate these challenges.">The recent explosion of generative AI has brought with it a complex web of new legal and ethical considerations that lawyers must grapple with. In this session, we will delve into the unique ethical and legal considerations that arise from the use of AI in litigation. We will explore critical areas of concern such as privilege and confidentiality, privacy rights, data security, transparency, algorithmic bias, and liability issues. Our panel of renowned legal tech experts, ethicists, and practicing attorneys will guide participants through real-world scenarios to illustrate these challenges.

Every industry is looking for ways to integrate generative AI into their workflows to support workers, automate mundane tasks, reduce costs, and the legal industry is no different. When it comes to implementing and adopting new technology though, there’s going to be heightened scrutiny and particularly from an ethics, bias and privacy standpoint. Join this session as we share insights on how firms can think about adoption of new technology like LLMs, from forming a task force to piloting products.

Panelists will discuss the importance of collaborative dialogue in successfully implementing AI and identify the key stakeholders necessary to achieve organization-wide success with AI. This session will highlight how different perspectives can contribute to more effective and ethical AI solutions, explore how stakeholder buy-in impacts adoption, and provide a dynamic platform for attendees to identify and discuss the crucial stakeholders necessary for the success of AI initiatives in their organizations.

This discussion will engage participants in developing concrete strategies for drafting, implementing and enforcing AI use policies within their organizations. Panelists will touch on the evolving nature of governance in the face of AI advancements and how governance is changing in reaction to AI, the conversations that need to be had, and anticipated future governance trends. The session will also tackle the challenge of 'shadow IT' -- the use of unauthorized or unmanaged tech by employees -- and offer practical solutions to manage these risks.

We’ll begin the 2024 AI Workshop exploring current, practical applications of AI in the legal sector, emphasizing real-world effectiveness over theoretical potential. Panelists will provide tips and insights on distinguishing between AI tools that offer genuine value and those that are merely overhyped solutions in search of a problem.

This session will pull back the curtain to the mysteries of Generative AI, with expert speakers answering some of the most complex questions regarding the impacts of AI on work and life. Panelists will also examine a possible new type of liability schema for regulators, and make predictions on the future of AI governance.

For many in-house litigators, managing spend can prove to be the most challenging aspect of litigating a case. However, leveraging your legal ops teams and capabilities, such as collaboration with outside counsel, data mining, collecting metrics, providing predictability of case outcome, and managing legal bills, legal ops can be one of the most effective tools in controlling spend and providing unmatched value to senior leadership. This session will uncover the hidden value of the unique partnership between litigation and legal ops.

Conversations around generative artificial intelligence are dominating the social stratosphere. By simulating human cognitive thinking, generative AI can produce new types of text, imagery, audio, and synthetic data by using patterns and informational elements obtained from prior works. Because generative AI often relies on pools of data and third-party creations to create new content, there is a concern that generative AI may, whether intentionally or inadvertently, exploit copyright-protected content to develop purportedly original content. Organizations that leverage generative AI tools should be mindful of how the tools are used in a commercial context to mitigate the risk of infringing uses. Likewise, owners of intellectual property should be aware of how their works are used by generative AI models and the users of these tools, and timely action should be taken to defend intellectual property against infringement.

As AI continues to revolutionize various aspects of our lives, concerns about data privacy, security, and ethical implications have become increasingly prevalent. Join this session as we explore the inherent risks and threats that arise when AI interacts with personal data, the type of frameworks that can be introduced to protect your organization, and the ethical conundrums that arise from AI.