Beyond sentiment analysis. Our jurisdiction-aware AI system performs deep legal classification of digital content, mapping statements against specific criminal statutes with explainable reasoning chains.
Every flag comes with comprehensive legal analysis. Every classification is traceable to specific statutory elements. Every output is designed for attorney review.
Our AI goes beyond keyword matching and toxicity scores to perform nuanced legal analysis that understands context, jurisdiction, and statutory elements.
Not just toxicity detection. Our models are trained on German criminal law statutes and understand the specific elements required for each offense category.
Every flag comes with a complete reasoning chain. See exactly which statutory elements the AI identified and why, enabling efficient attorney review.
Native analysis for German, English, French, and Spanish content. Cross-lingual understanding preserves nuance and cultural context across languages.
Probabilistic outputs with well-calibrated uncertainty. High-confidence predictions auto-flag while uncertain cases route to human review.
Multi-Stage Analysis Architecture
Specialized models trained on German criminal law statutes identify specific offense categories with statutory precision.
Detection of honor violations and personal attacks that cross the threshold from protected speech into criminal insult under German law.
Identification of false factual claims that damage reputation, distinguishing between opinion and actionable defamatory statements.
Recognition of explicit and implicit threats, including conditional threats and credible statements of intent to cause harm.
Cross-platform behavioral analysis to identify persistent, unwanted contact and monitoring that constitutes criminal stalking.
Detection of content that incites hatred against protected groups, distinguishing from legitimate political discourse.
Network analysis to identify organized harassment campaigns, sockpuppet networks, and coordinated pile-on attacks.
A six-stage process transforms raw social media content into legally-classified evidence with full chain of reasoning.
Secure API integration captures content from connected social platforms in real-time, preserving complete metadata.
Automatic identification of source language with native-quality translation for DE, EN, FR, and ES content.
Deep linguistic analysis extracts semantic features, intent markers, and contextual signals for classification.
AI maps extracted features against applicable statutes in target jurisdictions, identifying potential violations.
Multi-model ensemble produces calibrated confidence scores with uncertainty quantification for each classification.
Flagged content enters prioritized review queue with AI-generated reasoning to accelerate attorney assessment.
Our models learn from prosecution outcomes. When cases proceed to court, the results feed back into training to improve future classification accuracy.
High-confidence predictions (above 90%) auto-flag for attorney review. Lower confidence cases enter manual review queue with highlighted uncertainty.
We prioritize precision over recall. Our commitment is to minimize false positives that waste attorney time and could harm innocent parties.
Metrics based on internal validation dataset. Updated quarterly.
Legal validity requires transparency. Our AI provides element-by-element analysis that attorneys can verify, challenge, and use in proceedings.
Every classification includes the full logical path from input content to legal conclusion, showing exactly how the AI reached its determination.
For each potential offense, the AI maps specific content elements to statutory requirements, identifying which elements are present, absent, or uncertain.
Each statutory reference includes a confidence score reflecting the AI's certainty in the mapping, enabling risk-adjusted prioritization.
Responsible AI requires hard constraints. These guardrails are non-negotiable principles embedded at every level of our system architecture.
Our AI only indicates that content "may potentially violate" specific statutes. Final legal determination rests with qualified attorneys and courts.
All outputs are informational analysis, not legal counsel. Users must consult licensed attorneys for legal decisions.
Our models are trained to be politically neutral. We do not rank, suppress, or prioritize content based on ideology or viewpoint.
No automated legal action is ever taken. Every case requires human attorney review before any legal process begins.
We preserve evidence - we do not moderate, censor, or generate takedown requests. Content decisions belong to platforms.
Our role is evidence analysis and classification support. We do not determine guilt, recommend punishment, or advocate outcomes.
See how jurisdiction-aware AI can transform your approach to online harassment. Request a private demonstration with real classification examples and explainability outputs.