Due Diligence

Before you spend a dollar on vendor reports, the pre-bid waterfall process lets you screen non-performing loans using free public data — filtering out unsecured debt, assessing equity coverage, checking lien position, and verifying occupancy so that only viable assets advance to full due diligence.

Most note investors don’t lose on the borrower — they lose on the house they never truly evaluated.

Most note investors don’t lose because of bad strategy — they lose because they didn’t protect their lien.

Before you spend a hundred dollars on a professional title report, you can answer the most critical questions about a non-performing loan from your desk using free county records. This guide walks through the step-by-step process of fast and free title research — setting up your spreadsheet, locating county record portals, verifying secured status, checking property taxes, identifying senior liens and other encumbrances, and recognizing red flags that change your pricing or kill a deal.

Most note investors don’t lose on strategy — they lose by trusting numbers that were never real to begin with.

Veteran NPL investor Bill Bymel walks through the full lifecycle of a 23-loan non-performing note trade — from due diligence and repricing through closing and rapid dispositions — revealing how thorough research, multiple BPO layers, compliance reviews, and creative deal structuring turned a $6.5 million investment into six-figure profits within months.

Most investors lose money not by picking bad notes — but by wasting time analyzing deals that never should’ve made it past the first screen.

The borrower credit report is one of the most information-dense documents in your due diligence stack — especially for junior lien investors who need to verify the senior lien balance, status, and payment history before making an offer. This guide covers what to look for in a tri-merge credit report, how to read trade lines and pay strings, and how to extract actionable data points that feed directly into your pricing model.

The data tape is your first look at every loan in a pool — and the quality of your analysis here determines whether you submit smart offers or waste time on dead-end assets. This guide breaks down the columns you will find on a non-performing mortgage loan data tape, explains which fields are critical for pricing, identifies common red flags, and compares real tape formats from banks, secondary market sellers, and retail platforms.

AI tools like ChatGPT can compress hours of mortgage note due diligence into minutes. This guide walks through a five-step AI workflow for analyzing loan tapes, enriching data with census demographics, scoring locations for collection viability, generating borrower correspondence, and building amortization schedules — all without plugins or paid add-ons.