AI RESEARCH

Parthenon Law: A Self-Evolving Legal-Agent Framework

arXiv CS.AI

ArXi:2606.04602v1 Announce Type: new As agents grow capable, legal-domain LLM agents promise to turn document-heavy matters into reviewable work products -- yet reliable deployment faces three obstacles: no large-scale evidence on how today's strongest model-and-harness combinations behave on end-to-end legal matters; no agent architecture adapted to the legal vertical, only general-purpose harnesses; and, in a setting that keeps shifting with new facts, authorities, and deadlines, no mechanism for systems to learn from their own outcomes. We address each.