Swedish AI-powered GDPR compliance and personal data discovery tool. Automatically identifies and classifies personal data in unstructured files and emails. Products: Aigine Huginn (AI classification of document content) and Aigine UDIE (data discovery and documentation). Vendor claims 90% reduction in document review time for PII identification (source: vendor presentation, not independently verified). Distributed in Sweden by Arrow ECS (IT reseller channel). Featured in Deloitte RegTech Universe 2024 (broad catalogue listing hundreds of regtech companies — inclusion is directional, not a quality endorsement). Partners with Elinar for GDPR compliance solutions. Very small company with minimal market visibility. Primarily relevant for European organizations subject to GDPR — limited applicability for US-only law firms unless handling EU client data. Primarily an IT/compliance tool rather than a legal practitioner tool.
Company Info
- HQ: Sweden (registered in Dover, Delaware)
- Sector: RegTech / GDPR Compliance
- Distribution: Arrow ECS (Sweden)
What We Haven’t Verified
This page was assembled from publicly available information. Feature claims and workflow mappings are based on what the vendor and third-party listings publish — not hands-on testing or practitioner feedback. Pricing, customer count, and accuracy benchmarks have not been independently verified.
Workflows
Based on practitioner evidence, Aigine is used in these workflows:
What practitioners struggle with
Real frustrations from legal professionals — the problems Aigine addresses (or should address). Sourced from practitioner reviews, Reddit threads, and case studies.
Compliance officer at a regulated financial institution tracks 150+ regulatory obligations across 10 frameworks (SOX, GDPR, HIPAA, state-level requirements) in separate spreadsheets with manual deadline reminders — an auditor's request for evidence of control testing takes days to assemble because documentation is scattered across email, SharePoint, and local drives
Privacy team spends 3 months every year manually mapping data flows by sending questionnaires to engineering teams and chasing responses — by the time the data inventory is complete, engineering has shipped 20 new features and the map is already stale, leaving the DPO unable to answer a regulator's question about where personal data actually lives
When a consumer submits a GDPR or CCPA data deletion request, the privacy team has to manually trace where that individual's data lives across 50+ SaaS applications, databases, and third-party processors — missing even one system risks a regulatory fine, and the 30-day response deadline creates constant fire drills
Where it fits in your workflow
Community Data
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