Fintech Legal Intelligence
Expert analysis on regulation, licensing, and corporate structuring across EU and global jurisdictions — published by Luxcore partners.
MiCA Compliance 2026: The Complete Guide for Crypto Asset Service Providers
The EU's Markets in Crypto-Assets Regulation is now fully in force. Every CASP operating in or targeting EU clients must hold authorisation. This guide covers what MiCA actually requires, jurisdiction selection, capital requirements, and the fastest path to authorisation.
EMI Licensing in the EU: Which Jurisdiction Is Right for Your Business?
Electronic Money Institution licensing differs significantly across EU member states — in timeline, capital requirements, NCA responsiveness, and ongoing compliance burden. This analysis maps the key variables across six jurisdictions.
Ready-Made Companies vs. New Applications: The Speed and Risk Tradeoffs
For businesses with immediate commercial needs, acquiring a pre-licensed structure is often the only viable path. We break down the due diligence requirements, transfer timelines, and scenarios where each approach makes sense.
AML/KYC Framework Design for Licensed Fintech Entities in the EU
The AMLD6 framework imposes specific obligations on licensed payment and crypto entities. This guide covers what a compliant AML/KYC policy must contain, common deficiencies identified by NCAs, and how to build a framework that survives inspection.
Luxembourg Holding Structures for International Fintech Groups
Luxembourg's tax treaty network, participation exemption, and IP box regime make it the preferred holding jurisdiction for EU-licensed fintech groups. This note covers structure options for payments, lending, and crypto asset operations.
PI vs. EMI License: Choosing the Right Authorisation for Your Payment Model
Payment Institution and Electronic Money Institution authorisations are often confused. The distinction matters: different capital requirements, permitted activities, and regulatory obligations. This guide maps which license fits which business model.
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