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Legal Entities

Core Record Management Addresses Audit Buildings Countries Jurisdictions Legal Entities Locations Regions
Core Record Management Addresses Audit Buildings Countries Jurisdictions Legal Entities Locations Regions
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Legal entity management from the Client 360/KYC perspective focuses on understanding corporate customer structures, identifying beneficial owners through complex ownership chains, analyzing entity relationships (parent, subsidiary, joint ventures), and using entity information for risk assessment and AML compliance. This use case depends on comprehensive Legal Entity Management for detailed entity data while providing the customer-facing view needed for KYC processes.

The Challenge

Financial institutions face challenges in legal entity management:

  • Complex structures — Legal entities may have complex ownership structures with multiple layers
  • Beneficial ownership — Identifying ultimate beneficial owners through complex ownership chains
  • Entity relationships — Understanding relationships between legal entities (parent, subsidiary, joint venture)
  • Data fragmentation — Entity information scattered across multiple systems and data sources
  • Regulatory requirements — Must identify and verify beneficial owners for AML compliance
  • Dynamic changes — Entity structures change through mergers, acquisitions, and restructuring
  • Cross-border complexity — Entities may operate across multiple jurisdictions with different legal frameworks
  • Data quality — Maintaining accurate and up-to-date entity information

Client 360 / Know Your Customer depends on Legal Entity Management for comprehensive legal entity information.

Why EKG is Required

Enterprise Knowledge Graphs provide powerful legal entity management capabilities:

  • Structure modeling — Model complex legal entity structures and ownership hierarchies
  • Beneficial ownership — Traverse ownership chains to identify ultimate beneficial owners
  • Relationship analysis — Understand relationships between entities (parent, subsidiary, joint venture, etc.)
  • Multi-source integration — Connect entity data from multiple sources (corporate registries, internal systems, etc.)
  • Temporal tracking — Maintain historical records of entity structures and ownership changes
  • Cross-jurisdictional view — Connect entities operating across multiple jurisdictions
  • Risk assessment — Use entity relationships for risk assessment and network analysis

Business Value

  • Regulatory compliance — Meet requirements for beneficial ownership identification and verification
  • Risk assessment — Assess risk based on entity structures and relationships
  • Due diligence — Perform comprehensive due diligence on legal entity customers
  • Network analysis — Understand entity networks for AML and risk management
  • Data quality — Improve entity data quality through validation and relationship analysis
  • Operational efficiency — Automate entity relationship analysis and beneficial ownership identification