The RLB Specialist Panel partners with four audiences whose work depends on AI getting regulatory questions right. We engage on a services-led basis — applying the Panel's expertise to your specific need.
Evaluate your model on regulations of strategic priority. Diagnose failure modes per finding. Collaborate on remediation. Pre-publication review of findings affecting your model.
Methodology applies beyond regulation — engagements can extend to medical guidelines, tax authorities, investment research, or other critical-accuracy domains your model serves. See full indicative list ↓
Engage as AI Labs partner →Right of reply on findings affecting industry understanding of the rules you administer. Collaboration on sensitising the industry to AI hallucination risks and mitigation approaches.
Engage as Regulator partner →Independent review and mitigation of hallucinations and blind spots in your own AI-generated summaries and research papers before you use them for client work engagements. Safe AI adoption consultancy and training tailored to your profession. Continuous awareness of hallucinations and blind spots affecting your practice areas as new regulations are added — or on-demand review of specific areas important to your practice. Coming soon: RAG-augmented query against the RLB-curated substrate for hallucination-free and blind-spot-free answers for your practice areas.
Engage as Practitioner partner →Review the hallucination and blind spot risks in your AI-generated content and your own drafted documents, your team's documents, inputs you receive from external consultancy firms, and the outputs from the AI tools your firm relies on — and de-risk them. Consultancy and training tailored to your sub-sector, based on structured RLB findings and case studies. Coming soon: RAG-augmented query against the RLB-curated substrate for your relevant domains.
Engage as Regulated Firm partner →The methodology — verifying AI outputs against authenticated primary sources, classifying failures into the 7 Hallucination Modes and 2 Blind Spot types, tagging by audience — applies to any critical-accuracy domain where authoritative sources exist and the consequences of AI misinformation are material.
| Substrate domain | Target audience for AI products |
|---|---|
| Regulatory rules | Lawyers, compliance, regulators, regulated firms (what we do now) |
| Medical guidelines (WHO, FDA, NICE) | Doctors, nurses, patients, pharma |
| Tax authorities (IRS, HMRC) | Accountants, tax advisers, individuals |
| Investment research (prospectuses, fund factsheets, SEC filings) | Advisers, retail investors, asset managers |
| Banking product T&Cs, rate sheets | Retail bankers, financial advisers |
| Drug interaction databases | Pharmacists, prescribers |
| Court precedent / case law | Lawyers, paralegals |
| Building codes, safety standards | Engineers, architects, contractors |
| Cybersecurity standards (NIST, ISO 27001) | Security teams, CISOs, IT auditors |
| Aviation safety (FAA, EASA, ICAO) | Pilots, airlines, maintenance technicians |
| Clinical trial protocols (ICH-GCP, FDA IND) | Clinical researchers, regulatory affairs |
AI products serving these audiences need to be right. We make sure they are.
Send a partnership inquiry through the right of reply form — select your partner type from the dropdown. Or email partnership@reglegbrief.com directly.