They could hear the deepfake. They just couldn’t prove it. Forensic deepfake detection supporting legal cases

A global private investigations firm adopted Resemble Detect to help assess potentially AI-generated or manipulated audio, images, documents, and other digital evidence after investigators found that traditional methods such as metadata review, spectrograms, and personal judgment were increasingly insufficient. In cases involving suspected fabricated voicemails, texts, invoices, and altered supporting materials, the tool provides probabilistic findings, segment-level indicators, heat maps, and written reports that investigators can use to explain concerns to legal counsel and clients. The firm selected Resemble over alternatives such as Hive AI, citing a need for flexible API access, customization, and closer vendor collaboration for fast-moving, tailored investigations. While the reports do not establish definitive proof and legal standards for AI-related evidence remain unsettled across jurisdictions, they give the firm more structured documentation for discussions and potential legal proceedings. The firm is expanding the capability to international offices and is increasingly examining partially manipulated evidence, such as altered signatures, edited images, or documents modified with AI rather than wholly generated by it.

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