data-compliance-map

Data Compliance Map

Exemplar map spec — fully completed example demonstrating the template format. Use this as reference when filling out the other 30 map MD files.


Meta

FieldValue
Slugdata-compliance
Domaindatacompliancemap.app
CategoryCompliance & Regulation
ICP TierTier 1 Enterprise
PatternMulti-dimensional Status
Build Effort2-3 weeks
StatusPlanned
OwnersBackend: Micky · Design: Finn · Dev: Chloe
Demo VideoPending

Summary

Data Compliance Map is the flagship reference tool for global data protection law. It shows every country’s privacy law status, data residency rules, cross-border transfer requirements, enforcement intensity, and AI-specific rules — all switchable on a single choropleth.

The audience is compliance officers, Chief Data Officers, CTOs evaluating market entry, and privacy lawyers. The use case is “which jurisdictions should we enter next?” and “what’s our exposure footprint?” A US fintech expanding into the EU needs to know GDPR exposure; a European SaaS expanding into Brazil needs to know LGPD; a healthtech operating globally needs to know HIPAA-equivalent jurisdictions.

This map is positioned as the most comprehensive openly-readable reference, replacing the need to read 30 different law firm summaries. It demonstrates Atlas Development’s capability to build multi-dimensional regulatory compliance platforms — which is what carriers, MNCs, and law firms commission as paid custom builds at $150K-$500K.


ICPs (Ideal Customer Profiles)

Primary buyer

Secondary buyers

Bridge audience (drives traffic, not direct buyers)


Core Features


Map Layers & Display

Polygons (base data layer)

Lines (overlay layer)

Points (top data layer)

Labels (always topmost)

Interactive elements


Data Sources

SourceCoverageLicenseUpdate FrequencyFormatAdapter
DLA Piper Data Protection Laws of the World100+ jurisdictionsFree public referenceAnnualHTML scrape + Claude normalisationingest/adapters/dla-piper.ts
OECD AI Policy Observatory70+ jurisdictionsCC-BY 4.0MonthlyAPI + manual importingest/adapters/oecd-ai.ts
Each country’s data protection authorityPer jurisdictionVaries (mostly public)As-publishedManual + RSSingest/adapters/dpa-feeds.ts
IAPP enforcement trackerGlobal enforcement actionsFree with attributionWeeklyRSS + scrapeingest/adapters/iapp.ts
Linklaters / Baker McKenzie / Norton Rose privacy summariesPer jurisdiction contextReference only — not republishedPer their cadenceManual referenceN/A

Tier classification

Attribution requirements


Competition

Existing toolProviderQualityUpdate CadenceCostGap we’re filling
DLA Piper Data Protection LawsDLA PiperHigh content, poor UXAnnualFreeMulti-dimensional comparison view; not just text per country
OneTrust DataGuidanceOneTrustComprehensiveContinuousPaywalledFree; better UX
IAPP Privacy Law KnowledgeIAPPMember contentContinuousMember-onlyFree; non-member access
Mintz Levin Privacy MapMintz LevinDecentPeriodicFreeMore current; multi-dim
World Bank ID4D Data ProtectionWorld BankAcademicAnnualFreeMore commercial framing

Honest competitive assessment

DLA Piper has the content depth. OneTrust has the institutional weight. We win on UX, multi-dimensional comparison capability, and openness (no paywall, no member gate). We don’t win on legal authority — DLA Piper is a Magic Circle firm; we’re a small SaaS shop. Our defensible moat is the visualization layer + the recency commitment + the comparison feature. Our methodology page must be impeccable to compete with their authority.


SEO Strategy

Primary keyword

Long-tail targets

Page route families (prerendered)

Total prerendered pages: ~2,500-3,000

JSON-LD per page type

Internal linking strategy

Backlinking targets


Translations


Custom Build CTA Strategy

This is one of the highest-priority lead-gen maps in the portfolio (Tier 1 enterprise ICP).


Demo Notes


Tech Notes

Ingestion approach

Map style

Custom components needed

Performance considerations

Mapbox token


Handoff Notes

[Will be filled in by Micky during stage 4 of the workflow]


Demo Video Brief

Backend (Micky): Show the DLA Piper adapter running, Claude normalising legal text into structured 5-dimension data, the data flowing into Cloudflare R2, the prerender pipeline emitting 2,500 SEO pages. Close: “Imagine a private version with your customer base mapped against this — that’s what we build at atlasdevelopment.app/custom.”

Design (Finn): Hero shot of choropleth recoloring as dimensions change. Show the comparison page (GDPR vs CCPA). Show the methodology drawer. Talk through Linear design choices — why indigo, why dark, why minimal motion.

Development (Chloe): Show the repo, the per-page emitter, the JSON-LD generation, Claude Code session where Chloe added the comparison page route family. Close: “Free boilerplate at atlasdevelopment.app/boilerplate — fork it and ship your own map.”


Status Log

DateAuthorStatusNote
2026-05-17MickySpec draftedExemplar for template