Generative AI

AI-generated content can create legal risk in at least four areas: copyright ownership and infringement, plagiarism/derivative works, defamation, and privacy/data protection. Because laws differ by jurisdiction and many rules were not designed for automated authorship, businesses and creators can face liability even when using common AI tools. This article explains who owns AI outputs, how […]

Law firms that don’t adopt generative AI risk slower case turnaround, higher operational costs, and losing clients to more efficient competitors. As AI tools increasingly streamline research, drafting, and document review, client expectations for speed and value are rising. This article explains the competitive, financial, compliance, and talent risks of avoiding generative AI—and how to […]

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 […]

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, […]

Law firms are adopting generative AI to cut drafting, research, and document review time by 30–70% on routine work. They deploy AI for first-draft briefs, contract analysis, eDiscovery triage, and knowledge management with attorney oversight. This article covers the key use cases, implementation steps, risks, and ROI drivers for efficient adoption. The legal industry is […]

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 […]