Legal teams at Payment Institutions firms working on the CPMI-IOSCO Principles for Financial Market Infrastructures (PFMI, 2012) are increasingly relying on AI to draft legal opinions on FMI third-party oversight obligations, structure CSP-mandate contracts and contractual flow-down clauses, prepare counterparty representations on PFMI Annex F compliance, and validate supervisor-engagement scope language against the regulator's Annex F text.
The PFMI framework is the global standard for systemically important payment systems, central counterparties, and securities settlement infrastructures, and the document's structure makes it particularly amenable to AI summarisation: numbered Principles, numbered Key Considerations, and lettered annexes that the model can address by number.
That surface structure is also what makes the failure mode the RegLeg Brief Specialist Panel records here invisible at runtime: the document is regularly cited by Key Consideration number in board papers, disclosure-framework returns, and counterparty representations, which means a misattributed citation does not register as a substantive error in the draft, it registers as a competent regulatory paragraph that the reader will not check against the regulator's primary text unless something else prompts the verification.
Two frontier AI models tested by the RegLeg Brief Specialist Panel produced confidently wrong reconstructions of the PFMI's governance and oversight architecture under Principle 2 (governance) and Annex F (oversight expectations for critical service providers). The Panel records one finding in the class the team labels "Supervisor-Scope Inversion", in which the models stated a substantively plausible governance position and pinned it to a named Key Consideration that the published PFMI text does not support. The finding identifiers are RLB-H-INT-BIS-CPMI-IOSCO-PFMI-2012-Q011-Sonnet46.
For Legal teams at Payment Institutions firms, the failure shape matters because the work product is legal opinions on FMI third-party oversight, CSP-mandate contract structures, counterparty representations on PFMI Annex F compliance, and supervisor-engagement scope memoranda, all of which travel under the firm's name to a board, supervisor, counterparty, or public reviewer who can locate the cited Key Consideration and check it against the regulator's primary text.
Legal teams at payment institutions signing off on opinions or contract structures for CSP mandates are the population most exposed when AI output documents the supervisory relationship as purely contractual and FMI-internal, because the opinion carries the firm's name to a counterparty or supervisor who can locate Annex F and see the parallel regulator-to-CSP oversight channel the text contemplates.
The Panel documents the finding identifiers RLB-H-INT-BIS-CPMI-IOSCO-PFMI-2012-Q011-Sonnet46. The AI subjects under test were Claude Sonnet 4.6, each running with web search enabled, mirroring the workflow most practitioners run when they ask an assistant a Principle 2 or Annex F question. The verbatim regulator text is held as primary substrate (R2-REGULATION-d101a_PFMI_main_text.pdf). Each finding card sets out the exact strings the model produced, the verbatim regulator excerpt the model's output contradicts, and the failure-class label the RegLeg Brief Specialist Panel assigns.
The records are open-access; AI labs named in any finding have an unconditional right of reply, and the Specialist Panel will document any factual correction or contextual response alongside the original finding.
This is the consolidated view of findings. Click the Citation IDs or 'see details →' on any item for the full details for each finding.
An international lawyer scoping third-party oversight obligations for an FMI client, or for a critical service provider negotiating an FMI mandate, who relies on this output will document the supervisory relationship as purely contractual and FMI-internal. That framing is wrong. The PFMI's Annex F expressly contemplates a direct regulator-to-CSP oversight channel: authorities "may want to establish expectations" that are "specifically targeted at critical service providers." A legal opinion or transaction structure built on the inverted framing will misrepresent the supervisory architecture, exposing the lawyer to PI risk if the framing is later challenged.
Every finding on this page compares an AI subject's account of the rule against the regulator's verbatim text from the regulator's own portal. Both are linked. Each delta, its root causes, and impact analysis are documented and published with immutable Citation IDs.