---
title: "Due Diligence in VC: Every Section of What Investors Actually Check"
description: "VC diligence spans commercial, technical, financial, legal, and people checks. Here's exactly what to expect — and how to prepare a clean data room."
date: 2026-04-18T00:00:00.000Z
tags: ["vc-explainers", "startup-funding", "deal-process", "investor-education"]
source: https://venturecapitaltracker.com/what-is-due-diligence-vc-startup-fundraising
---

# Due Diligence in VC: Every Section of What Investors Actually Check

> VC diligence spans commercial, technical, financial, legal, and people checks. Here's exactly what to expect — and how to prepare a clean data room.

**Due diligence** is the structured evaluation process VCs run before closing an investment. It spans commercial, technical, financial, legal, and people dimensions.

Founders can prepare in sequence: tighten the [VC pitch deck](/pitch-deck-10-slides-vc-fundraising), then use this checklist before negotiating the [term sheet](/what-is-a-term-sheet-startup-funding).

### The six diligence pillars

#### 1. Commercial diligence
- **Market size and growth**: TAM / SAM / SOM with primary research.
- **Competitive landscape**: Direct, indirect, substitutes.
- **Customer references**: 5–20 reference calls.
- **Pricing and unit economics**: LTV, CAC, payback, gross margin.
- **Retention and churn**: Cohort analysis.
- **Sales motion maturity**: Lead volume, conversion rates, sales cycle.

#### 2. Technical diligence
- **Architecture review**: Scalability, latency, security.
- **Code quality**: Review sample modules or run static analysis.
- **Talent depth**: Can the team ship without any one key engineer?
- **Technical roadmap**: Realistic vs aspirational.
- **AI specific**: Model quality, data moat, training cost discipline.

#### 3. Financial diligence
- **Historicals**: Revenue, gross margin, burn, runway.
- **Forecast realism**: Assumptions behind the model.
- **Accounting hygiene**: QuickBooks or NetSuite reconciliations; revenue recognition.
- **Cash management**: Bank balances, AR/AP health.
- **Unit economics**: Customer-level P&L where relevant.

#### 4. Legal diligence
- **Corporate formation**: State of incorporation, good standing.
- **Cap table**: Every share, option, SAFE, and convertible documented.
- **IP assignment**: From founders, contractors, and employees — clean transfers.
- **Employment and contractor agreements**: Non-competes, non-solicits, at-will.
- **Material contracts**: Customer MSAs, supplier contracts, landlord leases.
- **Regulatory compliance**: Industry-specific (HIPAA, GDPR, SOC2, PCI).
- **Litigation**: Pending or threatened.

#### 5. People / culture diligence
- **Founder references** (back-channel): 5–10 calls with former colleagues, investors, customers.
- **Leadership team cohesion**: Have they built together before?
- **Hiring pipeline**: Are they attracting A-players?
- **Glassdoor / culture signals**.

#### 6. Regulatory and policy diligence (as relevant)
- Export controls (ITAR/EAR) for defense tech.
- Health compliance (HIPAA) for digital health.
- Financial compliance (SOC2, PCI, regulatory licenses) for fintech.
- Data privacy (GDPR, CCPA, state privacy laws).

### What a great data room looks like

- **Corporate docs**: Formation, bylaws, cap table, option plan, board minutes.
- **Financial**: Historical P&L, balance sheet, cash flow; current 18-month model.
- **Commercial**: Pipeline, customer list, retention cohort data, references.
- **Technical**: Architecture diagrams, security posture, key technical docs.
- **Legal**: IP assignments, material contracts, employment docs.
- **Fundraising history**: Previous SPAs, side letters, disclosure schedules.

### Red flags that kill deals

1. **Cap table surprises** — unregistered grants, pre-money SAFEs not modeled.
2. **IP assignment gaps** — founders or contractors without clean assignments.
3. **Tax or regulatory exposure** — unfiled state returns, wage compliance issues.
4. **Founder conflicts** — undisclosed co-founder disputes.
5. **Customer concentration** — one customer > 30% of revenue without stickiness.

### Practical takeaway

1. **Founders**: Prepare your data room 3–6 months before fundraising. Hygiene beats polish.
2. **Investors**: Don't skip back-channel founder references; they predict outcomes more reliably than any single metric.
3. **Operators**: Fix IP and cap table issues early — diligence surfaces them eventually.

### Further reading

- NVCA model documents: https://nvca.org/model-legal-documents/

**By:** [Venture Capital Tracker](https://venturecapitaltracker.com/editorial-policy)

**Editorial note:** AI tools assisted with research, structure, or drafting. Venture Capital Tracker retains human editorial responsibility for factual accuracy, relevance, and source quality before publication.
