The Challenge: Change is complex, managing it shouldn’t be

Change is more than new updates: tt’s connecting events to past decisions, understanding what’s materially new, updating internal documents consistently, and maintaining an audit trail across teams.

Without structured regulatory data, platforms often rely on fragmented sources and institutional knowledge, making it harder to trace, update and defend decisions end-to-end.

What RegGenome Data Enables

RegGenome’s source-linked, machine-readable data enables RegTech solutions to support the full regulatory change lifecycle, from the moment a regulation is published – supporting the impact on policy changes and reviews – to audit-ready traceability for each change made across workflows. 

From fragmented to structured change

Be alerted to relevant updates and link internal policies, or downstream interpretations, to the exact obligations and clauses that triggered them, with defensible traceability back to source.

 

 

Detect and analyse what’s materially new

Compare across versions, related documents, or domains (e.g., AML, cybersecurity) and surface how obligation types have changed.

Keep policies current, consistently

Track policy ageing based on the flow of new, relevant content since the last review and align updates to the right Legislative & Regulatory Initiatives (LRIs).

Support structured authoring

Bring domain-specific taxonomies into drafting tools, auto-suggest relevant regulatory text, and guide structure using publisher hierarchies.

Evidence every step

Maintain defensibility with consistent links between source documents and cached regulatory content to decision workflows. 

How our data supports each workflow

RegTech solutions use RegGenome data to power core change management workflows, turning updates into connected, auditable outcomes at scale. 

Policy Lifecycle Management 

Identify when policies need updating by measuring new, relevant regulatory content since last review, with LRI-specific monitoring.

Current State Assessment 

Ensure policies, obligations, and interpretations map to consistent source IDs and cached documents, so past inputs are always recoverable in context.

Change & Gap Analysis

Run granular comparisons within clusters of related documents and pinpoint what’s new or materially different – down to obligation types.

Policy Review & Drafting 

Import RegGenome’s domain taxonomies for on-the-fly annotation, and query the API to insert source-linked obligation text directly into drafts.

Audit & Traceability 

Keep a persistent, source-linked trail across the full change lifecycle with version history, IDs, and cached sources.

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How Each Metadata Field Supports Workflow Execution

Each metadata field drives a critical workflow function, enabling smarter search, faster review, and traceable updates across the lifecycle. 

 Consistent IDs (doc + clause) 

Anchor tasks to stable, referenceable source content tags 

Semantic Structure 

Use publisher headings & clause hierarchies for precise policy alignment & diff–checks

Version Clustering & LRIs 

Compare related documents across time series and key regulatory initiatives 

Thematic Taxonomies & Tags 

Group by domain and obligation type, business line, risk, product, or service  

Searchable Metadata 

Filter by domain, obligation, product, service, region, publishers, effective date, and more 

Cached PDFs 

Maintain access to source documents even if the original publisher links are updated, moved, or taken offline 

Legislative & Regulatory Initiatives (LRIs)

Group related docs; track change across the lifecycle.

Outcomes for RegTechs

 Ship RCM features faster: shorter time from update to release, fewer custom builds.

  Lower curation/maintenance cost: less manual review and rework across policies/controls.

  Win and retain more deals: audit-ready lineage boosts defensibility, trust, and renewals.

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Technical Snapshot

  • API-first delivery in machine-readable JSON with schema-driven attributes for straightforward ingestion.
  • Update cadence and delivery: daily/near real-time refresh; consume via live queries or receive triggers that update data packages.
  • Ingestion aids: manifest files describing dataset state to support batch loads and monitoring.
  • Integration options to suit maturity: API, bulk transfer, or cloud delivery – built for multi-jurisdictional workflows.

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.

Request a data walkthrough

Request a data walkthrough to see how structured data supports each stage of regulatory change, from first trigger to final update.