Be careful what you write: AI could be used against you in court

New York.- The daily use of artificial intelligence tools for personal, legal, or work-related inquiries is opening a new debate: privacy. A recent ruling in the United States raised alarms by establishing that conversations with chatbots could be used as evidence in legal proceedings. The decision was issued by a federal court in New York in the case "United States v. Heppner", which analyzes the conduct of Bradley Heppner, a former executive of a financial firm accused of fraud. Before being arrested, Heppner used an artificial intelligence platform to draft documents related to his defense. During the raid, authorities seized electronic devices containing those files. The defense tried to prevent that material from being used in the trial, arguing that it should be protected as part of the legal strategy. However, the court rejected that argument. Judge Jed Rakoff concluded that there is no confidentiality when information is shared with artificial intelligence systems. Unlike a lawyer, these services are not subject to professional secrecy, so the data provided may be considered accessible to third parties under certain conditions.

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The failure also highlights the usage policies of technology platforms. By accepting their terms, users authorize in many cases the storage and possible review of information, which weakens any expectation of absolute privacy. Legal experts warn that this precedent could have global implications, especially in a context where millions of people turn to digital tools to resolve sensitive questions, from financial issues to personal conflicts. Although artificial intelligence has become a practical and increasingly widespread resource, the case raises a clear warning: not everything written on these platforms is protected. Under certain circumstances, it could end up forming part of a judicial file. The debate now revolves around the need for greater clarity in regulation and the responsibility of users when sharing sensitive information in digital environments.