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How to do due diligence on a company with a web clipping workflow — a practical guide for analysts, lawyers, and finance professionals who need to
Due diligence on a company has a reliability problem: much of the information that matters is on the public web, and the public web changes. The pricing page that showed $X per seat in January may show $Y in March. The press coverage that described the company's strategic focus may have been updated or removed. The product features page may have been rewritten after a pivot.
Due diligence that relies on URLs isn't evidence — it's a pointer to what was there, which may or may not reflect what's there now. Doing due diligence on a company with a web clipping workflow solves this: you capture and preserve the evidence at the time you review it, creating a dated archive that remains accurate even as the original pages change.
The scope of company due diligence depends on the purpose (investment, acquisition, partnership, vendor evaluation, litigation support), but the core research categories are broadly consistent:
Business fundamentals:
Financial health indicators (for private companies without public filings):
Leadership and team:
Reputation and customer signals:
Competitive and market position:
The first principle of due diligence web clipping: every save is a timestamped evidence record.
Why dating matters: If a company's website in January claimed "used by 10,000 customers" and the website in April says "used by 8,000 customers," that discrepancy is material. If you saved the January version, you have evidence of the discrepancy. If you only have a URL, you have a pointer to the April version and no record of what you actually reviewed.
Capture protocol:
Collection structure:
This structure lets you quickly identify gaps: if the "Legal and regulatory" collection is empty, you haven't checked for legal issues. If the "Financial signals" collection has only a Crunchbase profile, you may have limited financial evidence.
Tier 1 (always review): Company website, LinkedIn page, Crunchbase/Pitchbook, G2/Capterra reviews, most recent press coverage.
Tier 2 (review for significant decisions): Glassdoor employee reviews, founder/executive LinkedIn histories (not just current roles), court records (PACER for US federal, state court search tools), patent filings, SEC EDGAR if any public affiliates.
Tier 3 (review for high-stakes transactions): Industry analyst reports, customer reference calls, specialized databases, regulatory filings in relevant industries (FDA, FTC, etc.), international entity searches if operating in multiple jurisdictions.
For each significant finding in your due diligence, maintain an evidence chain:
| Finding | Source | Date captured | URL | Notes |
|---|---|---|---|---|
| Company claims 10,000 customers | Homepage hero section | 2026-06-15 | [URL] | Unverified claim; no external confirmation found |
| Founder left previous company after 8 months | LinkedIn profile | 2026-06-16 | [URL] | Check for pattern; only one data point |
| 3 G2 reviews mention "data export issues" | G2 profile | 2026-06-16 | [URL] | Ask about data portability in diligence call |
This evidence chain is the work product. It supports the conclusions in your due diligence memo and provides a record of what was reviewed, when, and what it showed.
Situation: Evaluating a SaaS vendor for a significant enterprise software purchase. Need to assess financial stability and product reliability before committing to a multi-year contract.
Day 1 — Business and financial review: Captured: company website, pricing page, product pages, Crunchbase profile. Found: last funding round was Series B ($15M, 2023); no subsequent funding announced. Team size on LinkedIn: approximately 45 people.
Annotation: "No funding in 3 years with 45 people suggests either strong revenue or careful management. Need to find revenue indicators."
Day 1 — Customer and reputation review: Captured: G2 profile (23 reviews), Capterra (12 reviews), 2 Trustpilot reviews. Found: strong product reviews (4.5/5 overall) with a recurring theme in negative reviews: "slow customer support response."
Annotation: "Product satisfaction high; support is the consistent complaint. Will need to negotiate SLA guarantees into contract."
Day 2 — Leadership review: Captured: LinkedIn profiles for CEO, CTO, and VP Sales. Found: CEO previously founded a company that was acquired in 2019 (positive signal); CTO joined 6 months ago (recent hire, may indicate prior technical leadership departure).
Annotation: "CTO tenure is short — ask about the previous CTO. Either normal leadership evolution or potential technical leadership issue."
Output: Due diligence summary with evidence chain. Key findings: financially stable-looking company with strong product reviews but support concerns and a CTO tenure question. Recommendation: proceed with contract negotiations; require SLA for support response times; ask the CTO question in the next call.
A due diligence memo built from your evidence archive is more credible than one built from memory. Every finding should trace to a specific captured source with a date. "The company claims 10,000 customers (Company website, captured 2026-06-15)" is evidence; "the company claims 10,000 customers" is an assertion.
The memo structure:
Relying on URLs instead of saved content. URLs are pointers; saved content is evidence. For due diligence purposes, only saved content with a capture date counts.
Skipping the review of negative evidence. It's easy to capture the positive evidence (the company's own claims) and miss the negative (critical press coverage, 1-star reviews). The most important due diligence findings are often in the negative evidence.
Not dating your captures. The date of capture is part of the evidence. Without it, you can't demonstrate what was claimed when you reviewed it.
Treating a product claim as verified. "We serve 10,000 customers" on the company's homepage is a claim, not a verified fact. Your due diligence memo should note what's a company claim vs. what's independently verified.
Stopping at Tier 1. For significant decisions, Tier 1 research is a starting point, not a conclusion. High-stakes transactions require deeper review of leadership histories, legal records, and third-party verification.
Due diligence on a company with a web clipping workflow creates an evidence archive, not just a research file. The dated captures, the evidence chain, and the organized collections turn web research into a defensible record of what was reviewed, when, and what it showed.
For significant decisions — investment, acquisition, major contracts — that record is what makes the due diligence credible.
To go deeper, check out Clip Articles for Later Reading.
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