The Ontario Securities Commission has published an overview and invited feedback on how to build and shape a machine-readable dataset of Ontario securities rules and related regulatory documents, aiming to improve access, clarity and usability for capital market participants and potentially reduce compliance burden. The initiative would translate rules into structured, consistent data that firms could integrate into their systems. Early work in 2025, supported by RegGenome, explored the feasibility of OSC experts using machine-assisted annotation to label and categorise relevant statutes, regulations, rules and policies, with the goal of improving searchability, highlighting linkages across documents, and enabling more effective human and machine analysis. Feedback is intended to guide next steps and inform the OSC’s commitment in its 2026–2027 Statement of Priorities to develop a proof of concept for a machine-readable version of Ontario’s securities regulation. Comments are due by June 30, 2026.
Ontario Securities Commission 2026-03-30
Ontario Securities Commission seeks feedback on building a machine-readable dataset of securities rules and regulatory documents
The Ontario Securities Commission has outlined plans and requested feedback on developing a machine-readable dataset of Ontario securities rules and related regulatory documents to improve access, clarity and usability for capital market participants and reduce compliance burden. The project, informed by 2025 feasibility work with RegGenome on machine-assisted annotation, will guide next steps and support the Commission’s 2026–2027 priority to develop a proof of concept for a machine-readable version of Ontario’s securities regulation.