Legal Disclaimer Prompt Injector

Add domain-appropriate legal disclaimers to LLM output prompts

For medical, legal, financial, tax, and other regulated domains, generates the exact disclaimer-injection instructions so an LLM's output always includes the appropriate caveats. Assembled locally in your browser — no data leaves the page. It runs free in your browser on Gera Tools, with nothing uploaded.

Last updated Source: Gera Tools

Is this legal advice?

No. The disclaimers are generic templates assembled locally. They are a useful starting point, but you should have a qualified lawyer review the exact wording before using it in any production or customer-facing system.

Why regulated domains need explicit disclaimer injection

LLMs answering questions in regulated domains — medicine, law, finance, tax — need to carry the right caveats so users understand the output is informational, not professional advice. Without a system-level instruction, models sometimes omit disclaimers entirely, include them inconsistently, or soften them when users push back. This tool generates a system-prompt instruction block that tells the model to append a domain-appropriate disclaimer to every response, in the placement and tone you choose. Everything is assembled locally; nothing is sent anywhere.

How it works

Pick the regulated domain (medical, legal, financial, tax, pharmaceutical or mental health) and the tool selects a base disclaimer appropriate to that field. You can optionally name a jurisdiction so the wording references the relevant legal system (for example, “This does not constitute legal advice in England and Wales”), choose a tone (concise for minimal friction, standard for general use, formal/legal for enterprise compliance), and set the placement — beginning, end, or inline. The generator wraps the disclaimer in a set of enforcement rules instructing the model to:

  • Keep the disclaimer text verbatim in every response
  • Never omit it even if the user explicitly asks
  • Never claim to be a licensed professional
  • Skip it only when the question clearly falls outside the specified domain

Copy the generated block directly into your system prompt.

When prompt injection is not enough

Prompt instructions are strong but not guaranteed — a determined user can sometimes manoeuvre a model away from its instructions. For high-stakes regulated deployments, pair the prompt-level instruction with a deterministic post-processing check: verify the disclaimer string is present in the raw response text before displaying it to the user. If it is absent, either re-run or append it programmatically.

Multi-jurisdiction use

If your product serves users in multiple countries, generate a separate instruction block for each major jurisdiction and route to the appropriate one by user locale. Trying to cover every legal system in a single paragraph produces wording that is simultaneously too long to be useful and not specific enough to protect you in any single market.

Disclaimers by domain

DomainKey point the disclaimer must establish
MedicalOutput is not a diagnosis; consult a qualified healthcare professional
LegalNot legal advice; jurisdiction-specific laws may differ
FinancialNot investment advice; past performance not indicative
TaxTax rules change; consult a qualified tax adviser
Mental healthNot therapy; includes crisis-line signposting
PharmaceuticalDrug information only; dosing must be confirmed by a prescriber

Treat all generated text as a starting point. A qualified lawyer should approve final wording for any customer-facing or regulated production system.