JD Supra provides a cautionary analysis for businesses and developers on the legal risks associated with AI‑assisted coding tools like GitHub Copilot. While these tools can increase productivity by autocompleting code and suggesting entire functions, they introduce complex challenges related to intellectual property, confidentiality and data security. A major concern is that AI coding assistants are trained on vast repositories of existing code, including open‑source projects; this raises the risk of generating snippets subject to restrictive licenses, which could inadvertently incorporate them into proprietary software and create serious compliance issues.

The article also warns about the danger of intellectual‑property leakage. When developers use these tools, their own proprietary code may be transmitted to the AI provider and potentially used to train future models, exposing trade secrets. The question of who owns AI‑generated code remains unclear. To mitigate these risks, companies should adopt clear policies for using AI coding tools, such as prohibiting their use on proprietary codebases, training developers on the associated legal issues and carefully reviewing AI‑generated code to identify potential IP or licensing conflicts before integration.