How LEGADLLY CORE™ Works

Short SEO snippet:
Analyze, measure, and score legal risk in digital advertising systems with AI-driven precision.

Medium SEO snippet:
LEGADLLY CORE™ maps data flows, evaluates profiling, and generates a global legal risk score for adtech systems, enabling scalable AI compliance and GDPR alignment.

  1. The advertising system structure is analyzed
  2. Data flows and personalization mechanisms are mapped
  3. Profiling depth is evaluated
  4. Structural risk vectors are identified
  5. A global legal risk score is generated

Results

Global Risk Score (0–100)
Structural Classification
Profiling Index
Data Exposure Map
Risk Vectors

Real Evaluation Example

CAMPAIGN ANALYZED:
Multichannel retargeting with dynamic personalization based on web and app behavior.

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OVERALL RESULTS
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Risk Score: 82/100  
Classification: High Structural Risk  
Profiling Index: High  

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DETECTED FACTORS
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- Advanced behavioral inference based on browsing history  
- Cross-context tracking (web + app + third parties)  
- Integration of multiple data sources (first-party + third-party)  
- Real-time automated ad delivery  
- Low user visibility into data processing  

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EXPOSURE MAP
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Collected Data:
- Online identifiers (cookies, device ID)  
- Browsing history  
- Previous ad interactions  

Flows:
User → Platform → DSP → Ad Network → Advertiser  

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KEY RISKS
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1. Intensive profiling without sufficient transparency  
2. Dependence on ambiguous consent  
3. Limited traceability of data flows  
4. Automation without meaningful human intervention  

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RECOMMENDATIONS
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- Reduce tracking granularity  
- Limit behavioral inference  
- Strengthen consent mechanisms  
- Increase transparency in data flows  

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CONCLUSION
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The system presents a high-risk architecture due to the combination
of advanced profiling, structural opacity, and intensive automation.