The Parthenon framework enhances legal-domain AI agents by enabling them to learn from their outcomes, improving their performance on legal tasks without altering model weights. This advancement addresses key challenges in deploying AI for legal matters, potentially transforming document-heavy processes into efficient, reviewable outputs.