AI Hallucination Research › Findings by audience › Practitioners › United States › Lawyers › Detail › Finding
Practitioners — Lawyers · Last updated 11 Jun 2026 · Hallucination Register
Share / Print X LinkedIn Email

Finding#3, Multi-DCO haircut tiebreaker: highest-accepted-rate rule omitted

RLB Citation ID: RLB-F-US-CFTC-DIGITAL-ASSET-COLLATERAL-TOKENIZED-ASSETS-STAFF-GUIDANCE-2025-Q007
AI's failure:Misstated Rule Risk for Lawyers:Liability / PI exposure
What the RLB Specialist Panel found

Finding#3, Multi-DCO haircut tiebreaker: highest-accepted-rate rule omitted

Impact for Lawyers in the United States advising on the CFTC Digital Asset Collateral No-Action Relief and Tokenized Asset Staff Guidance (Market Participants Division, December 2025)

For a Lawyers advising an FCM on its customer margin haircut methodology, AI output that explains the 20% floor without naming the multi-DCO highest-rate tiebreaker leaves the client without the operative rule for the most commercially likely scenario. The FCM applying the floor when one or more DCOs prices the asset higher is systematically under-collateralised. The lawyer's advice, accurate as far as it goes, is incomplete exactly where the client's actual exposure sits.

References — raw findings (per AI model)
This finding also affects
← Previous finding Finding#2, Weekly reporting obligation: inversion of 3-month sunset rule
Cite this finding

Each finding has a stable Citation ID (RLB-F-… for aggregated case-study findings, RLB-H-… for raw per-model hallucinations) — like a DOI, the ID always resolves to the canonical finding even if URLs change.

RLB Citation ID: RLB-F-US-CFTC-DIGITAL-ASSET-COLLATERAL-TOKENIZED-ASSETS-STAFF-GUIDANCE-2025-Q007
Bluebook / OSCOLA (US + UK legal) Download 
RegLeg Specialist Panel, Finding#3, Multi-DCO haircut tiebreaker: highest-accepted-rate rule omitted [RLB-F-US-CFTC-DIGITAL-ASSET-COLLATERAL-TOKENIZED-ASSETS-STAFF-GUIDANCE-2025-Q007], RegLegBrief AI Hallucination Research (June 11, 2026), https://reglegbrief.com/regulators/j3/US/CFTC/DIGITAL-ASSET-COLLATERAL-TOKENIZED-ASSETS-STAFF-GUIDANCE-2025/practitioners/lawyers/finding/US-CFTC-US-001-DIGITAL-ASSET-COLLATERAL-TOKENIZED-ASSETS-STAFF-GUIDANCE-2025-v1-007/.
Plain text Download 
RegLeg Specialist Panel (2026). "Finding#3, Multi-DCO haircut tiebreaker: highest-accepted-rate rule omitted — Practitioners — Lawyers." Citation ID: RLB-F-US-CFTC-DIGITAL-ASSET-COLLATERAL-TOKENIZED-ASSETS-STAFF-GUIDANCE-2025-Q007. RegLegBrief AI Hallucination Research, published 2026-06-11. https://reglegbrief.com/regulators/j3/US/CFTC/DIGITAL-ASSET-COLLATERAL-TOKENIZED-ASSETS-STAFF-GUIDANCE-2025/practitioners/lawyers/finding/US-CFTC-US-001-DIGITAL-ASSET-COLLATERAL-TOKENIZED-ASSETS-STAFF-GUIDANCE-2025-v1-007/
APA 7th edition Download 
RegLeg Specialist Panel. (2026). Finding#3, Multi-DCO haircut tiebreaker: highest-accepted-rate rule omitted [Hallucination finding RLB-F-US-CFTC-DIGITAL-ASSET-COLLATERAL-TOKENIZED-ASSETS-STAFF-GUIDANCE-2025-Q007]. RegLegBrief AI Hallucination Research. https://reglegbrief.com/regulators/j3/US/CFTC/DIGITAL-ASSET-COLLATERAL-TOKENIZED-ASSETS-STAFF-GUIDANCE-2025/practitioners/lawyers/finding/US-CFTC-US-001-DIGITAL-ASSET-COLLATERAL-TOKENIZED-ASSETS-STAFF-GUIDANCE-2025-v1-007/
BibTeX Download 
@misc{reglegbrief_RLB_F_US_CFTC_DIGITAL_ASSET_COLLATERAL_TOKENIZED_ASSETS_STAFF_GUIDANCE_2025_Q007,
  author    = {RegLeg Specialist Panel},
  title     = {Finding#3, Multi-DCO haircut tiebreaker: highest-accepted-rate rule omitted},
  year      = {2026},
  publisher = {RegLegBrief AI Hallucination Research},
  note      = {Hallucination finding Citation ID: RLB-F-US-CFTC-DIGITAL-ASSET-COLLATERAL-TOKENIZED-ASSETS-STAFF-GUIDANCE-2025-Q007},
  url       = {https://reglegbrief.com/regulators/j3/US/CFTC/DIGITAL-ASSET-COLLATERAL-TOKENIZED-ASSETS-STAFF-GUIDANCE-2025/practitioners/lawyers/finding/US-CFTC-US-001-DIGITAL-ASSET-COLLATERAL-TOKENIZED-ASSETS-STAFF-GUIDANCE-2025-v1-007/}
}
← Back to case study summary Case study detail →
About Citation IDs →

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.