The Challenge: Fast, credible research at scale

RegTech providers building solutions for market entry, new product development, and sector due diligence are slowed by fragmented sources and inconsistent structures across jurisdictions. Without shared structure or legislative lineage, teams keep rebuilding cross-border comparisons – delaying delivery, increasing cost, and weakening defensibility for customers.

 

What RegGenome Data Enables

Transform fragmented laws, rules and guidance into a connected, machine-readable dataset with legislative context preserved.

Jurisdiction-agnostic structures and legislative initiative groupings make requirements consistently comparable across borders and interoperable with research/compliance tools. For your clients, this means they no longer need prior knowledge of a framework’s organisation to locate the rules that matter.

Map the regulatory landscape

View the full hierarchy of documents within a legislative initiative, from primary laws through secondary regulations to detailed guidance, in any jurisdiction.

 

 

Compare consistently across borders

Use a standardised, jurisdiction–agnostic information structure that enables side-by–side assessment of regulatory frameworks across countries and regulatory domains.

Deliver traceable outputs

Ensure every obligation, comparison, or analysis links back to its authoritative source for traceability, audit, and verification.

Built for regulatory research

RegGenome’s metadata is designed to support the three core stages of regulatory research that solution providers deliver to clients.

Landscaping & Scoping

Identify the relevant regulatory authorities, the source laws they administer, and the regulatory perimeter for a specific product, service, or activity.

Obligation Extraction

Isolate and structure specific requirements, exemptions, and obligations / controls that apply to a particular activity.

Gap & Alignment Analysis

Compare extracted obligations against a client’s existing policies or another jurisdiction’s requirements for like-for-like comparisons.

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How Each Metadata Field Supports Workflow Execution

RegGenome’s metadata model is built specifically for regulatory research. Each field is designed to enable a defined stage in the workflow.  

Legislative & Regulatory Initiatives (LRIs) 

Access laws, rules, amendments and guidance as related collections for faster navigation and clearer document relationships.  

Jurisdiction & Authority Tagging 

Identify the regulatory bodies responsible, the scope of their mandate, including the perimeter of key regulatory activities.  

Summaries & Signposts 

Provide concise summaries and direct links to the specific clauses that matter, reducing review time. 

Taxonomic Tagging 

Surface obligations by risk, product/service and line of business, organised by regulatory theme.

Versioning & Lineage 

Track how a requirement changes over time and maintain links to its authoritative source.

RegScores

Rank and prioritise documents most relevant and central to a given topic, theme, or query. 

Actionable Items 

Extract specific obligations, exemptions, and controls from source regulatory text. 

Outcomes for RegTechs

 Accelerate delivery of research features by reducing rework when adding jurisdictions or domains.

  Lower research and maintenance costs by avoiding jurisdiction-by-jurisdiction rebuilds.

Improve win and renewal rates with traceable, source-linked outputs that withstand scrutiny.

Technical Snapshot

  • Format: Machine-readable JSON + human-readable source PDFs for audit.

  • Coverage: 3M+ regulatory documents across 50+ jurisdictions.

  • Integration: API-first or bulk transfer, ready for ingestion.

Why RegGenome Data Stands Apart

Ethically sourced from official regulatory publishers and enriched using domain-trained AI and expert review. Developed in collaboration with the University of Cambridge and used by the regulator community to ensure quality, consistency, and full traceability to source.

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