How the New York RBF Appellate Decision Reshapes Bank Verification Software for Funders

A Landmark Ruling Funders Cannot Ignore

On June 2, 2026, deBanked published a detailed analysis of a New York appellate decision that provides the clearest judicial guidance yet on how courts should evaluate revenue-based financing transactions. The ruling matters because it directly addresses the structural question at the heart of every MCA deal: is this a purchase of future receivables or a loan subject to usury caps? For funders searching for reliable bank verification software for funders, the answer now carries real legal weight.

The decision lays out a well-reasoned analytical framework that future courts across the state are likely to follow. It examines whether daily remittance amounts are genuinely tied to actual merchant revenue, whether the funder bears a meaningful risk of loss, and whether reconciliation mechanisms function as more than window dressing. Each of these factors depends on data. Specifically, it depends on the kind of granular, timestamped cash flow data that only purpose-built bank verification and document extraction tools reliably produce.

If you are an MCA funder, an ISO broker packaging deals, or an underwriter making daily credit decisions, this ruling should change how you think about the documents you collect, how you store them, and how quickly you can retrieve them. This article breaks down what the decision means in practice, why your bank verification workflow is now a legal asset, and what steps you should take before your next deal closes.

Why Reconciliation Data Is Now a Legal Requirement

The Court's New Framework for True Sale Analysis

New York courts have been wrestling with the loan-versus-purchase question for years, producing inconsistent lower court rulings that left funders guessing. This appellate decision changes the landscape by articulating a multi-factor test that puts reconciliation at the center of the analysis. The court looked at whether the funder's daily collection amount was a fixed dollar figure (which looks like a loan payment) or a genuine percentage of the merchant's daily revenue (which supports the true sale argument).

The distinction sounds simple, but proving it requires evidence. A funder cannot walk into court and claim the deal was revenue-based without showing that daily remittances actually fluctuated with the merchant's sales. That means bank statements, deposit records, and transaction-level cash flow data must be preserved in a format that an expert witness or judge can review. As we explored in our analysis of how reconciliation accuracy reshapes automated bank statement analysis for lenders, even small discrepancies between stated and actual daily percentages can undermine a funder's legal position.

Manual Review Creates Legal Risk

Funders who still rely on manual bank statement review face a compounding problem. When an underwriter eyeballs three months of statements, highlights a few key numbers, and moves on, no durable audit trail exists. If the deal goes sideways and the merchant's attorney argues the transaction was really a loan, the funder's defense rests on whoever remembers what they looked at and when. Courts are unimpressed by that kind of testimony.

Manual processes also introduce inconsistency. One underwriter might focus on average daily balances while another zeroes in on deposit frequency. Neither approach is wrong, but when the methodology varies deal to deal, a plaintiff's attorney can argue that the funder never had a genuine reconciliation process at all. The appellate decision makes clear that form matters. A funder's internal documentation of how it verified revenue, matched remittance percentages, and tracked ongoing merchant performance will be scrutinized.

AI Extraction as Compliance Infrastructure

This is where bank verification software for funders transitions from an operational tool to a compliance infrastructure layer. AI-powered bank statement analysis does more than speed up underwriting. It creates a standardized, repeatable, and auditable process for extracting financial data from merchant documents. Every field pulled from a bank statement, whether it is a daily deposit total, a monthly average balance, or a transaction categorization, gets logged with a timestamp and a confidence score.

When a funder uses a platform like Let's Submit, every document that enters the system is parsed by AI, stored with its extraction metadata, and linked to the specific application it belongs to. If a court or regulator asks how you verified that a merchant's remittance percentage tracked actual revenue, you can produce a complete digital record. That is not a nice-to-have feature in a post-ruling world. It is a structural defense.

Purpose-built AI models trained on bank statements outperform general-purpose tools because they understand the specific patterns that matter to MCA underwriting: deposit velocity, NSF frequency, end-of-day balances, and the presence of other funder debits that signal stacking. As we discussed in our piece on how purpose-built AI models outperform general LLMs in MCA document verification, the difference between a generic OCR tool and a lending-specific extraction engine is the difference between a summary and evidence.

What Funders Should Change in Their Workflow Today

Build Audit Trails Starting at Intake

The appellate ruling rewards funders who can demonstrate a rigorous process from the moment an application arrives. That starts with document intake. If your current workflow involves merchants emailing PDFs to a shared inbox where someone manually renames files and drops them into a folder, your audit trail has gaps from the start.

Async document collection solves this problem at the source. With a platform like Let's Submit, you send the merchant a secure upload link. They drag and drop their bank statements, tax returns, and application forms into a portal that timestamps every upload, associates it with the correct application, and immediately triggers AI extraction. No email threads to search. No files lost in forwarding chains. No ambiguity about when a document was received or what version the underwriter reviewed.

Standardize What You Extract and Why

The ruling's emphasis on reconciliation means funders should define a consistent set of data points they extract from every bank statement. At a minimum, that set should include monthly revenue totals, average daily deposit amounts, NSF and overdraft counts, existing funder debits, and end-of-month balances. AI extraction makes this standardization automatic. Every statement gets the same treatment regardless of which underwriter is on duty or how busy the queue is.

Standardization also helps with portfolio-level analytics. When every deal in your pipeline has the same structured data fields, you can run risk models, spot trends, and identify outliers across your entire book. Funders who participated in the record-breaking Broker Fair 2026 conference heard this theme repeatedly: the funders winning on volume are the ones whose data infrastructure lets them scale without sacrificing consistency.

Preserve Data for Post-Funding Defense

Most bank verification happens at origination. The merchant submits statements, the underwriter reviews them, and funding proceeds. But the appellate decision evaluates what happened throughout the life of the deal. Did the funder actually reconcile? Did daily remittance amounts change when merchant revenue dropped? If the answer is yes but you cannot prove it because the data was not retained, you lose the argument.

Funders should treat bank verification data as a long-lived asset. The documents and extracted data from origination should remain accessible and searchable for the life of the deal and beyond. Cloud-based platforms make this trivial from a storage perspective, but the key is ensuring that the data remains linked to the deal, the merchant, and the specific documents from which it was derived. Let's Submit's application tracking system maintains this chain of custody automatically, from upload to extraction to review.

The Broader Regulatory Context in 2026

This appellate decision does not exist in a vacuum. New York's legislative push to regulate or even criminalize certain MCA practices continues to generate bills and hearings. Connecticut has its own commercial financing disclosure requirements. The Consumer Financial Protection Bureau has signaled interest in small business lending data collection, and while MCA remains excluded from Section 1071, the regulatory direction is clear: more transparency, more documentation, more accountability.

Funders who build robust bank verification and document management infrastructure today are not just protecting themselves against the specific legal test articulated in this ruling. They are building the operational foundation that every future compliance requirement will demand. Whether the next mandate comes from a state legislature, a federal agency, or a capital markets investor conducting due diligence on a securitization pool, the answer is the same: you need clean, structured, auditable data extracted from primary source documents.

The MCA industry's growth trajectory supports this investment. Broker Fair 2026 set attendance records, with more than half of attendees being first-timers. New entrants mean more competition, more deal volume, and more scrutiny. The funders who treat bank verification as strategic infrastructure will outperform those who treat it as a checkbox.

Frequently Asked Questions

What did the New York RBF appellate decision actually rule?

The decision provided a clear analytical framework for determining whether a revenue-based financing transaction is a true purchase of future receivables or a disguised loan. The court emphasized that the daily remittance amount must genuinely reflect a percentage of the merchant's actual revenue, not a fixed payment. It also examined whether the funder bears real risk of loss and whether reconciliation provisions are substantive rather than cosmetic. This framework gives lower courts a consistent standard to apply in future cases.

How does bank verification software help funders comply with this ruling?

Bank verification software for funders creates a standardized, auditable record of every document collected and every data point extracted during underwriting. This record can demonstrate that the funder verified actual merchant revenue, calculated remittance percentages based on real cash flow data, and maintained documentation throughout the deal lifecycle. Without this infrastructure, a funder's legal defense relies on memory and ad hoc file management, which courts find unpersuasive.

Does this ruling apply outside New York?

The decision is binding on New York courts, but its influence extends further. Because a large share of MCA contracts are governed by New York law regardless of where the merchant is located, the ruling's framework will apply to deals originated nationwide. Other states considering their own RBF regulations may also look to this decision as persuasive authority when drafting legislation or evaluating disputes.

What is the first step funders should take to strengthen their verification process?

Start by auditing your current document intake and extraction workflow. Identify where documents enter your system, how data is extracted, whether extraction is standardized across all deals, and how long records are retained. If any step involves manual handling without a digital audit trail, that is your vulnerability. Moving to an async, AI-powered platform like Let's Submit addresses the most common gaps in a single implementation.

Conclusion

The New York appellate decision is a turning point. It gives courts a clear, well-reasoned test for evaluating MCA deals, and that test runs on data: verified revenue, documented reconciliation, and preserved audit trails. Funders who invest in bank verification software for funders are not just speeding up their underwriting pipeline. They are building a legal defense, a compliance asset, and a competitive advantage all at once.

Let's Submit was built for exactly this moment. One secure link collects every document. AI extracts and structures the data. A complete audit trail follows every application from submission to approval. Visit letssubmit.ca to see how async bank verification fits into your workflow and gives your deals the documentation foundation that courts now demand.