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Program Details
2025-04-16 14:00:00
Over 1,000+ webinars
Course Overview
2025-04-16 14:00:00
2h CLE Credits
Intermediate
2
This session provides foundational knowledge of AI and machine learning, including key definitions, capabilities, and limitations of current AI systems. Participants will explore how AI is being integrated across industries such as finance, healthcare, and legal services, with practical case studies demonstrating both successes and cautionary tales.
This session examines the evolving patchwork of AI regulations, including the EU AI Act, U.S. executive orders, and emerging state-level legislation like the Colorado AI Act. Participants will learn how existing laws apply to AI systems and explore sector-specific compliance challenges in healthcare, financial services, and employment.
This session addresses critical IP issues surrounding AI, including ongoing litigation over training data copyright and fair use defenses. Participants will examine output ownership challenges, the human authorship requirement for copyright protection, and special considerations for protecting trade secrets when using AI systems.
A short break providing participants time to refresh and reflect on the material covered in the first three sessions. Use this time to prepare questions for the remaining sessions on governance and contracting.
This session covers the essential components of AI governance, including the NIST AI Risk Management Framework and key compliance obligations around privacy, transparency, and fairness. Participants will learn practical strategies for evaluating AI vendors, conducting due diligence, and building a governance toolbox to mitigate legal and reputational risks.
This comprehensive session examines critical contracting considerations when purchasing AI services, including service delivery models, IP ownership allocation, and negotiating vendor and customer indemnities. Participants will learn how to establish qualitative and quantitative performance metrics, address use restrictions, and identify provisions requiring revision in existing contracts.
Pillsbury Winthrop Shaw Pittman LLP
Pillsbury Winthrop Shaw Pittman LLP
Pillsbury Winthrop Shaw Pittman LLP
Mia Rendar is a technology and business process transactions advisor who focuses on technology and outsourcing engagements, with extensive experience in SaaS deals, cryptocurrency platform implementation, cloud technologies, and AI-related negotiations and risk mitigation strategies.
Pillsbury Winthrop Shaw Pittman LLP
David Reed is an experienced commercial and technology transactions advisor with prior in-house legal experience at Amazon, specializing in technology-related transactions including procurement agreements, cloud and SaaS agreements, and corporate transactions.
Pillsbury Winthrop Shaw Pittman LLP
Mia Rendar is a technology and business process transactions advisor who focuses on technology and outsourcing engagements, with extensive experience in SaaS deals, cryptocurrency platform implementation, cloud technologies, and AI-related negotiations and risk mitigation strategies.
Pillsbury Winthrop Shaw Pittman LLP
David Reed is an experienced commercial and technology transactions advisor with prior in-house legal experience at Amazon, specializing in technology-related transactions including procurement agreements, cloud and SaaS agreements, and corporate transactions.
Requirements
The Alabama State Bar MCLE Commission requires attorneys to complete 12 credits, including 1 ethics, by December 31 of each year. All credits must be reported by February 15 of the following year. A maximum of 12 credits, including 1 ethics credit, may be carried over for 1 year only.
Formats