Adult industry operators, creators, and producers are increasingly utilizing generative artificial intelligence (AI) for legal document preparation, a practice that carries significant risks due to the technology's potential for inaccuracy and fabrication, according to Corey Silverstein, managing and founding member of Silverstein Legal.
Silverstein, whose firm represents various sectors of the adult industry, highlighted on October 3, 2026, that while AI can draft documents quickly, it may not produce the specific contracts a business requires. The appeal of AI lies in its speed and the professional appearance of its output, offering a seemingly cost-effective alternative to traditional legal work for documents such as model releases, performer agreements, privacy policies, takedown notices, employment documents, and responses to regulators.
The Dangers of AI-Generated Legal Documents
Generative AI is designed to produce plausible language, not guaranteed truth. This can lead to fabricated court decisions, nonexistent statutory sections, imaginary filing procedures, or incorrect deadlines in legal contexts. The polished appearance of AI-generated documents can mask fundamental errors, including reliance on repealed law, invented legal requirements, omitted mandatory provisions, or the combination of rules from unrelated jurisdictions. These defects may only become apparent during a dispute, audit, or enforcement action, at which point initial cost savings disappear.
Legal work involves more than just drafting; it requires identifying parties, determining applicable laws, understanding business operations, assessing risks, and defining document objectives. AI often begins drafting without sufficient factual input, potentially creating a "standard performer release" that fails to account for production location, performer residence, distribution model, or intended uses like subscription platforms, promotional clips, and digital replicas. It may also overlook employment classification, recordkeeping, consent, age-verification requirements, and local restrictions on waivers, perpetual licenses, and publicity rights. These details are crucial for a document's validity and enforceability, as a clause effective in one jurisdiction may be ineffective or unlawful elsewhere. AI can blur these jurisdictional differences by combining legal language from multiple sources.
Outside the courtroom, AI-generated responses to regulators could inadvertently admit facts, identify the wrong entity, waive objections, or miss filing deadlines. Such responses might also confuse criminal penalties with administrative fines, promise unfeasible measures, expand investigations by volunteering unrelated information, or use informal communication when a formal response is required. Admissions can be irreversible, and missed deadlines can allow regulators to proceed by default. AI can mishandle both legal substance and procedural strategy while presenting information with certainty, potentially contributing to disputes involving contracts, advertising, copyright ownership, privacy, and unauthorized use of a person's name, image, or likeness.
The use of AI in legal documents has already led to consequences for attorneys. Courts have sanctioned lawyers for submitting AI-generated filings containing fake authorities. In Mata v. Avianca (2023), attorneys were fined for using AI to draft a motion that included fabricated citations, misleading the court. This incident, along with similar cases, highlights the risks of AI "hallucinations," where AI generates false references or misrepresents legal facts, particularly when trained on broad data sets lacking specialized legal knowledge. Such errors can result in professional sanctions and reputational damage.
Increased Risks for Adult Businesses
Adult businesses face heightened risks with AI-generated legal documents due to their operation under complex and overlapping legal regimes. A single website may be subject to rules concerning performer consent, age and identity records, content classification, obscenity, privacy, consumer protection, age assurance, payment processing, intellectual property, and platform moderation. Requirements can vary based on the locations of the company, performer, customer, server, and payment provider. Documents may also undergo scrutiny from regulators, financial institutions, platforms, investors, opposing attorneys, and law enforcement. A flawed policy, release, or compliance declaration could jeopardize consumer privacy, payment processing, content rights, acquisitions, or regulatory standing. AI cannot reliably weigh these consequences without informed human direction.
Responsibility for a document remains with the person or company that signs, publishes, or submits it. A chatbot's involvement will not excuse a false regulatory filing, invalidate a performer's legitimate claim, or persuade a court to enforce a defective contract. The use of AI may also raise confidentiality concerns, as legal questions often involve sensitive information such as performer identities, banking details, corporate structures, unpublished allegations, and litigation strategy. Entering such information into a consumer AI service could expose it to retention, internal review, or other uses, and communications with an AI system generally do not become privileged simply because legal guidance is sought. Businesses should review a provider's retention, training, access, and deletion policies before sharing sensitive information.
Responsible AI Use in Legal Work
AI can still play a role in legal work with proper oversight. It can summarize documents, identify issues, compare versions, improve organization, prepare questions for counsel, and produce first drafts. The key is to use AI to assist the legal process, not to control legal decisions. A sensible workflow includes several safeguards:
- Obtain qualified human review before signing, publishing, or filing an AI-generated legal document.
- Verify every legal citation against an official source.
- Confirm the correct parties and legal entities, rather than relying on brand, domain, or studio names.
- Independently check jurisdiction, governing law, service requirements, and deadlines.
- Remove unnecessary confidential information and use placeholders whenever possible. Avoid uploading identification documents, performer records, or privileged communications without authorization and an appropriate security review.
- Ask counsel to review both the underlying business process and the document, as a well-written document cannot correct flawed company procedures.
Legal documents allocate risk, and their true value becomes apparent when issues arise. A missing sentence can determine ownership of a content library, an unnecessary admission can support a regulatory fine, and an invalid release can threaten years of distribution revenue. While AI can quickly produce something resembling a legal document, sound legal judgment requires informed human review. Silverstein advises placing an experienced human between the draft and the signature line before relying on AI output for company, content library, or reputation.
Key Facts
- Corey Silverstein, managing and founding member of Silverstein Legal, highlighted the risks of AI-generated legal documents on October 3, 2026.
- Generative AI is designed to produce plausible language, not guaranteed truth, leading to potential fabrications in legal contexts.
- Attorneys have been sanctioned by courts for submitting AI-generated filings containing fake authorities, such as in the Mata v. Avianca (2023) case.
- Adult businesses face increased risks due to complex, overlapping legal regimes and scrutiny from various entities.
- Responsibility for AI-generated documents remains with the person or company that signs, publishes, or submits them.
- Safeguards for AI use include qualified human review, verification of legal citations, and independent checks of jurisdictional details.
