Guardrails in legal applications are designed to protect data privacy and ensure compliance with privacy laws like GDPR or attorney-client privilege. One key aspect is ensuring that LLMs do not store or retain personal data or sensitive legal information after processing. Guardrails can be implemented to ensure that input data is anonymized and that the model cannot generate identifiable information about clients, cases, or legal proceedings.
Another important guardrail is filtering out content that may violate privacy rights. For instance, the model should not generate information that could breach confidentiality agreements or divulge proprietary legal knowledge. Additionally, content moderation can ensure that the model does not generate harmful or legally inaccurate content that could affect clients or legal cases.
Finally, the model can be designed with role-based access control, ensuring that only authorized personnel can access sensitive legal information or interact with the model in specific contexts. Guardrails should be applied to restrict access to certain types of legal content, ensuring that privacy and confidentiality are maintained at all times, especially when dealing with personal or privileged legal information.