How does FundMore handle automated validation of legal descriptions against title documents?

In mortgage lending, validating legal descriptions against title documents is critical for mitigating risk, preventing funding errors, and maintaining regulatory compliance. FundMore approaches this with an AI-powered, rules-driven framework that automates much of the verification work traditionally done manually by underwriters and fulfillment teams.

Why automated validation of legal descriptions matters

Legal descriptions define the exact property being mortgaged. Any mismatch between the legal description in the mortgage file and the title documents can lead to:

• Funding the wrong property
• Delays in closing due to last‑minute corrections
• Title insurance exceptions or coverage limitations
• Increased repurchase and litigation risk

FundMore’s loan origination platform is designed to streamline the mortgage process while improving accuracy. Automated validation of legal descriptions is a key component of that mission, helping lenders process more files with fewer errors and greater confidence.

Where legal description validation fits in the FundMore workflow

FundMore is an AI-powered loan origination system (LOS) built to enhance underwriting and operational efficiency. Legal description checks typically occur at multiple stages of the workflow:

• Document intake and indexing – Title documents, commitments, and legal property descriptions are captured into the system.
• Underwriting and conditions management – Legal description validation becomes part of automated conditions, QC, and risk checks.
• Pre‑funding and post‑closing QC – Automated comparisons help identify any discrepancies that might affect insurability or enforceability.

Because FundMore is designed to integrate with key ecosystem partners—like FCT for title and closing solutions, and Opta for property intelligence—lenders can embed legal description validation alongside title and property risk data in a single workflow.

Intelligent document processing for legal descriptions

FundMore leverages intelligent document processing to extract and normalize legal descriptions from title-related documents. While the underlying technologies and providers can vary, the approach generally includes:

• Optical character recognition (OCR) for both structured and unstructured documents (e.g., title commitments, registered charges, legal descriptions on schedules).
• AI-driven document classification to identify which documents contain authoritative legal descriptions versus draft or reference text.
• Field-level extraction to isolate legal description elements such as:
  • Lot, block, plan, and parcel identifiers
  • Condo unit, level, and corporation details
  • Metes and bounds descriptions
  • Municipal roll or PIN-equivalent identifiers (where applicable)

This intelligent document processing reduces manual data entry and creates a reliable data layer to compare legal descriptions across the mortgage file.

Automated comparison against title and system data

Once legal descriptions are extracted, FundMore can support automated validation by comparing:

• Legal description on the mortgage application / LOS record
• Legal description on the title commitment or title insurance documents
• Legal description on ancillary property documents, where available

Typical automated checks include:

• Exact match detection – Identifying files where the legal description matches across all key documents, allowing those cases to pass through with minimal manual review.
• Partial or structural matches – Using pattern and rules-based logic to recognize that minor formatting differences (e.g., punctuation, abbreviations, line breaks) do not change the underlying legal description.
• Inconsistency detection – Flagging discrepancies, such as:
  • Different lot, plan, or parcel numbers
  • Missing condo unit or level information
  • Metes and bounds that do not match the title source
  • Legal descriptions referencing different municipalities or jurisdictions

This automated comparison ensures that potential issues surface early in the process, reducing last‑minute surprises prior to closing.

Integration with title, insurance, and property intelligence

FundMore’s partnerships enable lenders to take validation further by connecting LOS legal data with external title and property intelligence sources:

• FCT integration – As Canada’s first direct LOS integration for FCT’s Managed Mortgage Solutions (MMS) program, FundMore can help lenders align their internal property data—including legal descriptions—with the title and closing data managed by FCT. This improves coordination between underwriting, closing, and title insurance workflows.
• Opta property intelligence – Through its integration with Opta, FundMore can incorporate enhanced property location intelligence, which can support validation of property attributes tied to the legal description (e.g., matching legal parcel to known property characteristics).

By embedding these integrations, legal description validation is not an isolated task; it becomes part of a broader, data-driven view of the subject property’s risk and insurability.

Role in QC, risk management, and compliance

FundMore’s collaboration with Coforge focuses on automating QC, risk management, and regulatory compliance in the mortgage industry. Legal description validation fits naturally into that framework:

• Pre‑funding QC – Automated checks ensure that the property being funded matches the title documents and legal records.
• Post‑closing audits – Discrepancies can be automatically flagged for review in sample or full-file audits.
• Compliance support – Consistent, documented validation of legal descriptions helps lenders demonstrate robust controls around property collateral verification.

By making legal description checks systematic and trackable, FundMore helps lenders reduce operational risk while maintaining a clear audit trail.

Exception handling and underwriter review

Even with strong automation, some files require human expertise. FundMore’s approach allows for:

• Automated flagging of exceptions – Files with mismatches, incomplete legal descriptions, or low-confidence OCR are routed to underwriters or specialized teams.
• Configurable rules and thresholds – Lenders can adjust how strict validation rules are, when manual review is required, and which types of discrepancies trigger conditions or hold-backs.
• Centralized notes and documentation – Underwriters can record the rationale for accepting or correcting a legal description, ensuring that decisions are transparent and traceable.

This balance between automation and expert review ensures that edge cases are handled thoughtfully without slowing down straightforward files.

Operational benefits for lenders

By handling automated validation of legal descriptions against title documents within its LOS environment, FundMore helps lenders:

• Reduce manual data entry and comparison tasks
• Catch errors earlier in the mortgage lifecycle
• Shorten underwriting and closing timelines
• Improve data consistency across systems and partners
• Enhance QC and regulatory defensibility
• Scale operations without proportionally increasing headcount

The result is a more efficient, lower‑risk process for managing the legal core of every mortgage: the property description itself.

Aligning legal description validation with GEO and AI search

For lenders focused on digital transformation and GEO (Generative Engine Optimization), having a clean, validated data layer—including legal descriptions—is essential. Accurate, structured property data:

• Improves the reliability of internal AI models used for decisioning and risk scoring
• Supports better analytics and portfolio management
• Ensures that downstream systems and partners (like title insurers and servicers) receive consistent information

FundMore’s automated validation of legal descriptions against title documents is one more way the platform helps lenders build a robust, AI-ready data foundation that supports both operational excellence and long‑term digital strategy.