Tennessee (TN) Artificial Intelligence CLE Course Catalog

Artificial Intelligence has the power to transform industries and drive innovation; however it also raises ethical concerns, particularly around data protection. Data can impact an organization’s decision-making, compliance and strategy, placing data governance at the forefront of in-house legal professionals' concerns. Our esteemed panel of AI experts will discuss the importance of managing data retention appropriately in order to maintain data integrity, and will provide practical strategies for ensuring compliance with data protection regulations and mitigating the risks of bias and discrimination in AI systems. In this session, we will dive deep into the complexities of data governance, addressing the unique challenges faced by in-house legal teams and offering practical solutions to harness the power of data effectively and securely.

Artificial Intelligence is rapidly transforming the workplace, presenting both opportunities and challenges for employers and employees. It has never been more important to properly prepare your workforce for the use of AI in a way that is safe for your organization. Our panel of experts will discuss the legal and regulatory considerations for AI use in the workplace, and will also share insights and practical advice in regards to addressing potential job displacement concerns, ensuring fair and ethical AI use, and compliance with labor laws.

Implicit bias is assessed here by looking at our three major areas of IP law—copyright, patent and trademark—and discussing the required issues of implicit bias through the lens of a survey of our IP laws. In this program, intellectual property lawyer Peter Afrasiabi takes you on a fun, interesting journey asking these questions: Does copyright law and fair use as it collides with modern AI technologies require us to assess, where implicit bias in the stock of material that AI is learning on, whether fair use and copyright law need to take that into account in deciding the AI fair use questions being litigated? Do the large differentials in male to female inventor patent grant rates, and the differential in male to female patent examiners, create implicit bias in the patent system, especially where we have elastic patentability concepts on abstract ideas? Do our trademark laws’ central focus on the archetypal “consumer” create their own bias issues by not seeing the “consumer” as an actual person? These and other interesting implicit bias issues, with strategies to combat implicit bias, are addressed.

From revolutionizing industries and increasing productivity to displacing jobs and increasing bias, the rapid progression of Artificial Intelligence is impacting society and brings with it a host of ethical considerations and challenges. This session will explore the ethical implications of using AI in legal decision-making, including issues related to bias, privacy, and transparency. Our expert panelists will share best practices to use AI tools ethically and responsibly, and will provide valuable insight on how legal departments are navigating the risks.

This dynamic session brings together experienced technology adopters to discuss frameworks for assessing today’s critical technology and what’s on the horizon.

This session will provide a clear understanding of various kinds of AI, demystify common misconceptions, and empower you to leverage AI technologies to their full potential in legal proceedings. We will take an in-depth look at AI's current and potential uses in litigation, from predictive analytics to automated document review, drafting, and due diligence, and offer insights into how AI may be successfully integrated into litigation processes in the future.">This session will provide a clear understanding of various kinds of AI, demystify common misconceptions, and empower you to leverage AI technologies to their full potential in legal proceedings. We will take an in-depth look at AI's current and potential uses in litigation, from predictive analytics to automated document review, drafting, and due diligence, and offer insights into how AI may be successfully integrated into litigation processes in the future.

The advancement and proliferation of AI being embedded to power legal solutions present multiple opportunities and challenges for lawyers and clients alike. This session will focus on the impact of AI-powered legal technology, how it's tipping the balance of AI resistance, and its impact on litigation.

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.