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 inject the disclaimer via the prompt instead of post-processing?

A system-prompt instruction keeps the disclaimer attached to every response the model generates, including streamed and tool-augmented replies, without you needing a separate string-append step that can be bypassed or forgotten.

Will the model always obey the disclaimer rule?

Models follow strong system instructions reliably but not perfectly. For high-stakes regulated use, combine this prompt with a deterministic post-processing check that confirms the disclaimer text is present before display.

Can I customize the disclaimer text?

Yes. Use the generated block as a base, then paste in your own approved wording. Keeping the placement and "do not omit even if asked" rules intact is the important part.

Legal Disclaimer Prompt Injector

Legal disclaimer prompt injector

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. 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 and the tool selects a vetted base disclaimer for it. You can optionally name a jurisdiction so the wording references the relevant legal system, choose a tone (concise, standard, or formal/legal), and set the placement — beginning, end, or inline. The generator then wraps the disclaimer in a set of enforcement rules: keep the text verbatim, do not omit it even if the user asks, never claim to be a licensed professional, and skip it only when the question falls outside the domain.

Tips and notes

Treat these disclaimers as a starting point, not a finished legal document — the templates are generic and a lawyer should approve final wording for production use. For high-stakes systems, pair the prompt-level instruction with a deterministic check that verifies the disclaimer string is actually present in each response before you show it, since prompt adherence is strong but never guaranteed. If you operate across multiple jurisdictions, generate one block per jurisdiction and route by user locale rather than trying to cover everything in a single paragraph.