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Uptiq's Document AI extracts entity or trust name, entity type, governing jurisdiction, formation date, trustees, members and managers, ownership percentages, and borrowing and encumbrance clauses from formation documents into the credit file for authority and beneficial ownership review.
Trusted by financial institutions across banking, lending & credit
What Is This
Trust and entity formation documents — trust agreements, LLC operating agreements, and partnership agreements — establish who legally owns a borrowing entity, who may sign for it, and what borrowing powers trustees or managers hold before a loan is executed.
Uptiq's Document AI extracts entity or trust name, entity type, governing jurisdiction, formation date, trustees, members and managers, ownership percentages, and borrowing and encumbrance clauses from formation documents into the credit file for authority and beneficial ownership review.
Borrowing and encumbrance authority hides in a single clause inside a 40-page trust or operating agreement
The Solution
Uptiq's Document AI extracts entity or trust name, entity type, governing jurisdiction, formation date, trustees, members and managers, ownership percentages, and borrowing and encumbrance clauses from formation documents into the credit file for authority and beneficial ownership review.
The result: your team spends time on judgment calls, not re-keying trust and entity formation data — measured across production deployments.
What Uptiq Extracts
A sample of the structured fields Uptiq's Document AI captures from this document type.
| Field | Example |
|---|---|
| Entity / Trust Name | Halberd Family Trust |
| Entity Type | Irrevocable Trust |
| Governing Jurisdiction | Nevada |
| Formation / Effective Date | 2016-11-04 |
| Trustees / Managers | 2 named, joint authority |
| Beneficial Owners (25%+) | 3 identified |
| Borrowing Authority Clause | Article VII, Section 7.2 |
| Amendments on File | 2 (2019, 2023) |
{
"entity_trust_name": "Halberd Family Trust",
"entity_type": "Irrevocable Trust",
"governing_jurisdiction": "Nevada",
"formation_effective_date": "2016-11-04",
"trustees_managers": "2 named, joint authority",
"beneficial_owners_25": "3 identified"
}Key Benefits
Uptiq's Document AI extracts entity or trust name, entity type, governing jurisdiction, formation date, trustees, members and managers, ownership percentages, and borrowing and encumbrance clauses from formation documents into the credit file for authority and beneficial ownership review.
Borrowing and encumbrance authority hides in a single clause inside a 40-page trust or operating agreement
Ownership percentages live in an exhibit or schedule rather than the body, and often fail to sum to 100%
Every extracted field traces back to its source page — examiner-ready documentation, every time.
100+ native integrations across loan origination systems, cores, and workflows. No new infrastructure.
Process more trust and entity formation volume with your existing team as application volume grows.
Proven at Scale
Results represent aggregate outcomes across production deployments. Individual results may vary.
How It Works
The trust and entity formation arrives via email, portal, or upload. AI classifies it automatically.
Fields are extracted at 95%+ accuracy with full data lineage back to the source page.
Extracted fields are validated and structured for downstream use.
Structured, extracted data lands in your existing loan origination or servicing system.
Common Questions
Related Document Types
Book a 30-minute session. We'll run a live extraction demo on your own trust and entity formation documents.
150+ financial institutions run Uptiq's AI agents to process financial documents and accelerate underwriting.
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