generative AI

Explore the intersection of law and technology with articles and videos discussing the implications of generative AI in the legal industry. Visitors will find expert insights on how this innovative technology is transforming legal research, contract analysis, and intellectual property considerations. Stay informed about the evolving landscape and legal challenges associated with artificial intelligence in law.

Divorce papers beside a glowing AI chat screen

If an AI Helped You Draft Your Divorce Petition, Can Your Spouse Read Every Word?

Artificial Intelligence, Divorce Law, Family Law, Legal Technology, Privacy and Data Protection /

Usually no—your spouse can’t automatically read every draft your AI tool generated; discovery typically reaches what you retained and relied on, not every intermediate prompt or unused version. But AI chats, uploads, and draft histories may be discoverable if they’re relevant, shared with third parties, or not protected by attorney-client privilege or work-product rules. This […]

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AI art copyright ruling gavel and digital artwork

Can You Copyright an AI-Generated Image? The Copyright Office Just Answered

Artificial Intelligence, Copyright Law, Digital Art, Intellectual Property, Technology & Innovation /

In most cases, you cannot copyright a purely AI-generated image in the U.S.; the Copyright Office requires human authorship, and protection applies only to the human-created elements. Recent guidance and registration decisions reaffirm that prompts alone typically aren’t enough, while meaningful human selection, arrangement, or editing may qualify. This article explains the Office’s current position,

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Books with AI circuit patterns overlay

Training an AI on Copyrighted Books Is Fair Use — Until It Isn’t

Artificial Intelligence, Authors & Publishing, Copyright Law, Intellectual Property, Technology & Innovation /

AI training on copyrighted books can qualify as fair use under the 4-factor test when the use is transformative and doesn’t substitute for the original. It becomes infringement when copying is substantial, used commercially to compete, or outputs reproduce protected expression. This article explains where courts draw the line, key factors, and practical risk for

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Legal Issues for AI in Copyright Tackled with Lawyer and AI Rep in Courtroom Setting

What Legal Challenges Face AI in Copyright Law?

Copyright Law, Digital Media/Internet, Intellectual Property, Legal Liability, Technology Law /

AI copyright disputes most often turn on whether training on copyrighted works is fair use and whether AI-generated output qualifies for copyright—currently, U.S. Copyright Office guidance requires human authorship. Courts and regulators are actively shaping rules on data scraping, licensing, attribution, and liability for infringing outputs. This article explains the key legal challenges for developers

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Generative AI Meets Legal Boundaries

What are the latest developments in Generative AI and IP law?

Government Relations, Intellectual Property, International Law, Legal Advice and Consultation, Legal Commentary, Legal Liability, Legal Procedures, Patent/Copyright/Trademark, Technology Law /

Generative AI is rapidly reshaping IP law, with 2024–2025 developments focusing on who owns AI-assisted outputs, whether training on copyrighted works is lawful, and what disclosure is required in registrations and licensing. Courts and regulators are increasingly scrutinizing substantial similarity, fair use, and the evidentiary trail behind AI-created content. This article summarizes key recent cases,

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Legal Tech Leap: AI's Impact on Law

How is Generative AI transforming legal practices and outcomes?

Digital Media/Internet, Evidence Handling, Legal Advice and Consultation, Legal Commentary, Legal Procedures, Legal Representation, Legal Resolution, Legal Technology Trends, Technology Law /

Generative AI is already transforming legal work by automating first drafts, accelerating research, and reducing review time by as much as 30–50% in common workflows. Law firms and in-house teams are using it to summarize records, extract key clauses, flag risks, and improve consistency—while managing confidentiality, bias, and hallucination risks. This article explains the top

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