OSC seeks feedback on how to build a machine-readable dataset of securities rules
Making securities regulation machine readable can reduce compliance burden, lower operational risk, and improve how firms access and use regulatory information.
SIMA – OSC – Request for Comment – Transforming how we share Ontario’s securities regulation
Recipients
Ontario Securities Commission (OSC)
Industry segments this resource supports
- Assets management
- Wealth management
Summary
This submission supports the OSC’s proposal to publish a machine-readable dataset of Ontario securities regulation, including rules, policies, and related materials. It highlights how structured and accessible regulatory data can improve compliance processes, enable more effective regulatory technology, and reduce duplication and inefficiencies associated with manual data extraction.
Why this matters: Making securities regulation machine readable can reduce compliance burden, lower operational risk, and improve how firms access and use regulatory information.
Key takeaways
- Broad, low-cost access to the dataset is essential to maximize its value for firms, service providers, and researchers.
- Machine-readable regulation can reduce risks of errors, outdated content, and inconsistent internal interpretations by improving version control and reliability.
- Priority should be given to high-burden and highly interconnected regulatory materials, particularly investment fund and dealer-facing rules.
- Interoperability across regulatory sources (e.g., OSC, CSA, CIRO) will enhance usability and support alignment across jurisdictions.
- Clear licensing terms are needed to enable use in compliance tools while ensuring third-party outputs are not mistaken for official guidance.
