AI agents now make consequential decisions inside relationships that carry fiduciary duties. The duty does not move to the machine or the vendor; it stays with the human professional who already owes it. AI made the predictable work fast and automatic, and what is left is taste, judgment, and someone who answers. What is missing is the proof: asked to show an agent acted loyally and with care, there is no record that proves it.
This is one line of work approached from three sides: a working prototype, a doctrinal argument, and a peer-reviewed result. Each column is the same idea further along: first built, then argued in front of legal scholars, then discussed in peer review. The record is how you prove the someone was there.
The Certificate of Action, running. A tamper-evident record built across an agent pipeline: break any step and the chain fails. Framed first as a product problem at Docusign, then prototyped at the LQ002 hackathon.
The doctrinal case, presented to a room of fiduciary-law scholars at NYU's Fiduciary Duties and AI workshop. Four duties, loyalty, care, disclosure, and confidentiality, mapped onto four verifiable layers.
The technical proof. A trust primitive for verifiable autonomous legal AI workflows that satisfies concrete record-keeping and oversight requirements. Accepted to ICML 2026, presenting in Seoul on the 10th. Camera-ready in the proceedings July 2026.