Compliance teams need structured data about legal entities -- jurisdiction details, beneficial ownership chains, regulatory filings, and certification statuses. Entity Enricher lets you define these fields in a custom schema and enriches them with multi-model validation, so you can trust the data feeding your KYC, AML, and due diligence processes.
Legal and compliance data carries significant downstream risk. Incorrect sanctions screening results, missing beneficial owners, or outdated compliance certifications can expose organizations to regulatory penalties. Single-source enrichment creates a single point of failure.
Entity Enricher's multi-model fusion architecture mitigates this risk. When multiple AI models independently enrich the same entity, the system detects field-level conflicts -- for instance, if one model reports an entity as sanctions-listed while another does not. The arbitration layer resolves these conflicts with reasoning and confidence scores, giving compliance teams a defensible audit trail.
This schema captures core legal entity attributes needed for compliance workflows. Use AI schema generation to create it from your existing data format, then refine it in the visual editor.
{
"name": "LegalEntity",
"properties": {
"entity_name": { "type": "string", "is_key": true },
"legal_form": { "type": "string" },
"registration_number": { "type": "string" },
"jurisdiction": { "type": "string" },
"date_of_incorporation": { "type": "string" },
"registered_address": { "type": "string" },
"compliance_status": {
"type": "object",
"properties": {
"gdpr_compliant": { "type": "boolean" },
"sox_compliant": { "type": "boolean" },
"iso_27001_certified": { "type": "boolean" },
"sanctions_listed": { "type": "boolean" }
}
},
"corporate_structure": {
"type": "object",
"properties": {
"ultimate_parent": { "type": "string" },
"beneficial_owners": {
"type": "array",
"items": { "type": "string" }
},
"board_members": {
"type": "array",
"items": {
"type": "object",
"properties": {
"name": { "type": "string" },
"role": { "type": "string" }
}
}
}
}
},
"regulatory_filings": {
"type": "array",
"items": {
"type": "object",
"properties": {
"filing_type": { "type": "string" },
"authority": { "type": "string" },
"date": { "type": "string" },
"status": { "type": "string" }
}
}
}
}
}Legal entity enrichment benefits from specialized expertise domains. Corporate structure analysis requires different knowledge than regulatory filing lookups or jurisdictional data.
| Field | Expertise | Description |
|---|---|---|
| entity_name | General | Full legal name and any registered trade names |
| legal_form | General | Corporate form (LLC, AG, SAS, Ltd, etc.) |
| jurisdiction | Jurisdictional | Country and sub-national jurisdiction of incorporation |
| compliance_status | Compliance | GDPR, SOX, ISO certifications, and sanctions status |
| corporate_structure | Corporate | Ultimate parent, beneficial owners, board composition |
| regulatory_filings | Regulatory | SEC filings, annual returns, regulatory submissions |
| registration_number | Jurisdictional | Company registration or tax ID number |
| date_of_incorporation | General | Date the entity was legally formed |
Specify the exact legal and compliance fields your process requires -- from beneficial ownership depth to specific certification checks.
Provide entity names, registration numbers, or LEI codes. Use batch mode to screen entire counterparty lists.
Multiple AI models independently research each entity. Pre-flight classification ensures entities match the expected type.
Fused results include conflict reports and arbitration reasoning. Export to JSON or Excel with full provenance for regulatory documentation.
Enrich new clients with corporate structure, beneficial ownership, and sanctions screening data during onboarding.
Screen vendor and supplier entities for compliance certifications, regulatory actions, and jurisdictional risk.
Extract board composition, shareholder structure, and governance practices for institutional investors.
Track regulatory filings, enforcement actions, and consent orders across jurisdictions for ongoing monitoring.
Define your compliance schema, cross-validate with multiple AI models, and get audit-ready legal entity data with full provenance. No fixed field limitations.
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