Definition Additional training applied to an existing AI model using a smaller, specialized dataset so it performs better on a particular domain or task—such as legal drafting conventions—without building a model from scratch.
In more depth
Fine-tuning adjusts a pretrained model's weights with targeted examples, in contrast to retrieval-augmented generation, which leaves the model unchanged and supplies documents at question time. Legal technology vendors use fine-tuning to teach models domain vocabulary, formats, and tone. Material used for fine-tuning becomes part of the model's learned behavior, so client data should not be used for it without clear authority and safeguards.
About the editor: MHSB Solutions, Research desk. MHSB Solutions is not a law firm. This glossary is educational information, not legal advice.
Educational information, not legal advice. AI terminology and tools change quickly; definitions reflect usage as of the last-updated date. For what bar associations and courts actually require of lawyers using AI, see legalaicompliance.help and consult a licensed attorney in your jurisdiction.