AI-Generated Works & Copyright Risk

Service Description

Artificial intelligence is rapidly changing how content is created, edited, and distributed. From AI-assisted drafting and image generation to automated research tools, legal professionals now operate in environments where authorship, ownership, and infringement risk are no longer straightforward. AI-Generated Works & Copyright Risk is a focused, practice-driven workshop designed to help legal support professionals identify and manage copyright exposure in AI-enabled workflows. This session moves beyond theory and addresses the real questions professionals are facing today: • Who owns AI-generated content? • Does AI output qualify for copyright protection? • When does AI-assisted drafting create infringement risk? • How does fair use apply to AI training and derivative outputs? • What documentation practices reduce liability exposure? Participants will examine current authorship standards, human contribution requirements, and the evolving legal landscape surrounding generative AI tools. The workshop also explores risk management strategies for organizations using AI in content creation, research, and innovation processes. What You Will Learn ✓ How copyright law defines authorship and originality in AI contexts ✓ The legal distinction between AI-generated and AI-assisted works ✓ Fair use considerations involving generative AI tools ✓ Practical risk assessment frameworks for AI-driven workflows ✓ Documentation and governance practices that strengthen defensibility Who Should Attend ✓ Paralegals working with AI-assisted drafting tools ✓ Legal tech professionals implementing generative AI systems ✓ eDiscovery and litigation support professionals handling digital content ✓ Compliance professionals overseeing AI use within organizations ✓ Innovation-focused legal support professionals Program Outcome By the end of this workshop, participants will be able to identify copyright risks in AI-generated materials, apply structured analysis frameworks, and support attorneys and organizations in implementing responsible AI usage practices.