This case study highlights how XtractSol streamlined FinCEN reportability review for real estate contracts through structured, traceable automation.
Overview
US real estate purchase contracts must be reviewed to determine whether a transaction is reportable under FinCEN Residential Real Estate Reporting rules. XtractSol implemented a compliance-focused automation workflow that accelerates contract review while preserving the evidence trail needed for audit and operational confidence.
Faster compliance review
with automated extraction and classification
More consistent decisions
with structured rules-based reportability logic
Stronger audit traceability
with source snippets tied to each determination
Challenge
Manual review of lengthy legal contracts was time-consuming, difficult to scale, and prone to inconsistent interpretation across high-volume operations. Teams needed a reliable way to evaluate financing type, buyer classification, and property type while maintaining clear evidence for each reportability outcome.
Solution
XtractSol developed an AI-powered compliance workflow that processes purchase contracts through OCR, applies LLM-guided extraction for required compliance attributes, and evaluates reportability using deterministic business rules. The workflow supports contract intake and processing through a document API, enabling repeatable handling of both scanned and digital files.
The system produces structured JSON outputs that include financing details, buyer classification, property type, evidence snippets, and final FinCEN reporting actions. This approach improves consistency and scalability while keeping external documentation focused on high-level capabilities rather than proprietary implementation details.
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