Technology M&A Due Diligence Checklist: What Buyers, Sellers, and Investors Need to Review Before Signing

Technology M&A is different from ordinary business acquisitions. In a traditional deal, diligence may focus heavily on financial statements, customer concentration, tax, employment, and commercial contracts. In a technology transaction, those issues still matter — but they are only the starting point. A software, SaaS, AI, fintech, cybersecurity, marketplace, e-commerce, or data-driven company may carry most of its value in intangible assets: source code, product architecture, user data, customer contracts, APIs, models, algorithms, trade secrets, platform integrations, vendor dependencies, cloud infrastructure, and recurring revenue relationships. If those assets are not actually owned, properly licensed, secure, transferable, compliant, and scalable, the headline purchase price may not reflect the real risk.

That is why a technology M&A due diligence checklist should be legal, technical, operational, and regulatory at the same time. A buyer needs to know whether the target can legally sell what it has built. A seller needs to know what problems could slow down closing, reduce valuation, trigger indemnity exposure, or invite a post-closing dispute. Investors need to know whether the business can survive scrutiny by enterprise customers, regulators, lenders, underwriters, strategic acquirers, and future exit buyers. This checklist is designed to help founders, buyers, investors, and deal teams identify the issues that most often matter in technology M&A — and it pairs with our guide to what tech acquirers check when you sell.

Quick Technology M&A Due Diligence Checklist

Before signing a letter of intent, purchase agreement, merger agreement, or investment agreement, deal teams should evaluate at least the following:

1. Corporate authority and capitalization — formation documents, equity ownership, options, SAFEs, convertible notes, investor rights, approvals, and consents.
2. Intellectual property ownership — patents, trademarks, copyrights, trade secrets, source code, invention assignments, contractor agreements, licenses, and encumbrances.
3. Software and product review — code ownership, architecture, scalability, technical debt, dependencies, APIs, integrations, and development practices.
4. Open-source software risk — copyleft licenses, attribution obligations, license notices, vulnerability management, and software bills of materials.
5. Customer and revenue contracts — SaaS agreements, enterprise MSAs, SLAs, data processing terms, assignment clauses, change-of-control restrictions, termination rights, and most-favored-customer provisions.
6. Vendor and cloud infrastructure — hosting, payment processors, API providers, data subprocessors, uptime commitments, escrow, disaster recovery, and vendor concentration.
7. Cybersecurity — policies, incident history, penetration tests, SOC 2 reports, remediation, access controls, logs, backup, and incident response.
8. Data privacy and data rights — personal information, sensitive data, consent, retention, international transfers, privacy notices, and sector-specific obligations.
9. AI and automated decision-making — model ownership, training data, output rights, bias testing, human oversight, vendor AI tools, and governance controls.
10. Regulatory and industry compliance — export controls, sanctions, CFIUS, antitrust, HSR, SEC disclosure considerations, and sector rules.
11. Employment and contractor matters — key employees, restrictive covenants, invention assignments, contractor classification, and retention packages.
12. Litigation and dispute risk — threatened claims, IP disputes, customer disputes, privacy complaints, investigations, and indemnity demands.
13. Deal-structure risk — asset sale vs. stock sale vs. merger, tax treatment, consents, excluded liabilities, escrows, earnouts, and closing conditions.

A good diligence process does not simply collect documents. It converts findings into deal decisions: price adjustments, special indemnities, closing conditions, escrow terms, covenant packages, remediation plans, disclosure schedules, or a decision not to proceed.

1. Corporate Structure, Cap Table, and Deal Authority

Technology companies often move quickly. That speed can create corporate-record problems that surface only when a buyer starts diligence. Review the articles or certificate of incorporation, bylaws or operating agreement, and amendments; board and stockholder approvals; equity incentive plans, option grants, warrants, SAFEs, convertible notes, side letters, and investor rights agreements; drag-along, tag-along, voting, information, ROFR, and co-sale rights; foreign subsidiaries and international contractors; and the third-party consents required for a merger, stock sale, asset sale, or change of control.

For sellers, the goal is to make sure the company can actually sign and close the deal without a surprise approval issue. For buyers, the goal is to confirm who owns what, who must approve the transaction, and whether any undisclosed rights could affect post-closing ownership.

2. Intellectual Property: Does the Target Actually Own the Technology?

IP diligence is often the core of technology M&A. The buyer is not merely acquiring revenue; it is acquiring the legal right to use, commercialize, improve, and defend the technology. Key questions include: Who wrote the source code? Did every founder, employee, contractor, consultant, and vendor sign an invention assignment? Are there gaps between product development history and signed IP assignments? Are patents, trademarks, copyrights, and domain names registered in the correct legal name? Does the company rely on inbound licenses that are non-transferable or terminate on change of control? Are there liens, security interests, settlement restrictions, or exclusive licenses affecting the IP? Has the company received infringement allegations, takedown notices, or demand letters?

A common technology M&A problem is the “contractor gap.” A startup may believe it owns its code because it paid a developer, agency, or offshore team to build it. Payment alone does not always equal ownership. The diligence file should include signed agreements assigning inventions and IP rights to the company, not just invoices or statements of work. Buyers should also examine whether the product depends on third-party IP — APIs, SDKs, data feeds, commercial libraries, embedded software, cloud services, generative AI tools, fonts, and analytics products. For the ownership fundamentals, see our guide to IP assignments and why they matter.

3. Open-Source Software and Software Bill of Materials

Open-source software can accelerate product development, but it can also create diligence risk if the target lacks controls. Buyers should ask for an open-source inventory or software bill of materials, a license review process, and vulnerability-management history: the components used in the product; license types, including permissive and copyleft licenses; whether any license could require source-code disclosure, attribution, notice, or distribution of derivative works; whether notices are maintained; whether the company uses automated dependency scanning; and known vulnerabilities and remediation timelines.

The issue is not whether a company uses open source — most technology companies do. The issue is whether the company knows what it uses, understands the license obligations, and can show a repeatable compliance process. Our deep dive on open-source licenses in SaaS products covers when these obligations bite.

4. Product, Architecture, and Technical Debt

Legal diligence and technical diligence should work together. A buyer may discover that a target owns the code but that the product is difficult to scale, poorly documented, dependent on a small number of engineers, or built on fragile architecture. Review the product roadmap and release history; code repositories and access controls; development workflow, QA, and release management; architecture and infrastructure documentation; cloud environment, backups, monitoring, uptime, and failover; key dependencies and single points of failure; technical debt and known defects; and security-by-design practices.

For a strategic acquirer, these issues may affect integration cost. For a private equity buyer, they may affect add-on acquisition strategy and future exit value. For a seller, identifying technical debt before diligence allows management to frame the issue, budget remediation, and avoid surprise valuation pressure.

5. Customer Contracts, SaaS Terms, and Revenue Quality

Recurring revenue is valuable only if it is durable, collectible, transferable, and not subject to hidden termination rights. Customer-contract diligence should go beyond the headline ARR number. Review master services agreements, SaaS terms, order forms, DPAs, SLAs, and renewal notices; assignment and change-of-control restrictions; termination rights, including convenience termination; auto-renewal provisions and notice windows; service-level credits and support obligations; data ownership and data-use rights; customer audit rights and security requirements; indemnities for IP, data breach, and privacy; limitation-of-liability caps and carveouts; most-favored-customer clauses and pricing restrictions; and unusual side letters or informal concessions.

A buyer should compare contract terms against revenue assumptions. A high-value enterprise customer may be included in valuation, but if that customer can terminate for convenience after closing, demands a security audit, or prohibits assignment without consent, that revenue may be less certain than it appears. Our guide to diligence-grade contracts covers the standard acquirers hold sellers to.

6. Vendor, Cloud, API, and Subprocessor Dependencies

Many technology companies are built on third-party infrastructure. That is not inherently a problem, but a buyer needs to understand whether the business depends on vendors that can change prices, terminate access, restrict use, create compliance gaps, or impair scalability. Review cloud hosting agreements; payment processors and fintech partners; data providers and licensors; AI vendors and model providers; API and platform dependencies; subprocessors and international data-transfer mechanisms; termination rights, assignment clauses, and pricing escalators; and business-continuity obligations.

Vendor diligence is especially important where the target’s product cannot function without a single provider. If a material API, cloud service, payment rail, or data feed is non-transferable or terminable on short notice, that risk should be addressed before signing or closing — a risk we cover in depth in when your startup runs on someone else’s API.

7. Cybersecurity Due Diligence: From Checklist to Deal Risk

Cybersecurity diligence is no longer a back-office IT exercise. It can affect valuation, representations and warranties, closing conditions, insurance coverage, disclosure obligations, customer trust, and post-closing integration. Review written information security policies; the incident-response plan; prior security incidents, ransomware events, and unauthorized access; penetration tests, vulnerability scans, SOC 2 reports, and certifications; identity and access management, MFA, and offboarding controls; encryption, key management, logging, backup, and recovery; vendor security review; security obligations in customer contracts; and cyber insurance policies, exclusions, and claims.

A practical benchmark is the NIST Cybersecurity Framework 2.0, published in 2024, whose core functions — govern, identify, protect, detect, respond, and recover — provide a useful structure for diligence interviews and remediation planning. For public-company buyers or targets, cybersecurity diligence also intersects with securities disclosure: the SEC’s cybersecurity disclosure rules added Form 8-K Item 1.05 for material incidents and Regulation S-K Item 106 for annual disclosure of cybersecurity risk management, strategy, and governance.

Buyers should ask whether the target has experienced any incidents that were not disclosed to customers, insurers, regulators, or investors; whether any incidents remain unresolved; and whether incident facts create contractual notice obligations, regulatory exposure, or closing risk.

8. Data Privacy, Data Rights, and Data Commercialization

Data can be one of the most valuable assets in a technology deal — and one of the most sensitive. Buyers should determine not only what data the company has, but whether the company has the legal right to collect, use, retain, transfer, analyze, train on, sell, or share it. Review the types of personal and sensitive data collected; privacy notices, cookie banners, and consent flows; data processing agreements and subprocessor lists; retention and deletion practices; international transfers; data-subject request procedures; marketing, analytics, and ad-tech practices; contractual restrictions on data use; and whether data may be used to train AI models.

Technology companies often assume that possession of data means the right to use it. Diligence should test that assumption. Customer contracts may restrict use of customer data. Privacy notices may not support secondary uses. Sector-specific laws may restrict processing. Data obtained from third parties may be subject to contractual limits. If the target’s business model depends on data commercialization, these questions become central to valuation.

9. AI Due Diligence: Models, Training Data, Governance, and Output Risk

AI-related diligence is now a core issue in many technology transactions. Even companies that do not market themselves as AI companies may use AI in product features, customer support, analytics, underwriting, hiring, sales, security, or code development. Review the AI systems used in products and operations; model ownership, licensing, and hosting; training data sources and data-use rights; whether customer or confidential data is used for training; bias, explainability, validation, and human oversight; AI vendor contracts and restrictions; output ownership and infringement risk; security risks including prompt injection and model leakage; and policies governing employee use of generative AI tools.

The NIST AI Risk Management Framework is a useful reference for building diligence questions around AI governance, mapping, measurement, and management. For buyers, AI diligence should answer a simple question: is AI creating value the buyer can lawfully and reliably acquire, or is it creating hidden exposure through data misuse, third-party dependency, model opacity, security risk, or intellectual-property uncertainty?

10. Antitrust, HSR, and Merger-Control Risk

Not every technology transaction raises antitrust risk, but antitrust analysis should begin early. In some deals the risk is obvious because the parties compete directly; in others it may arise from adjacent products, platform control, data advantages, nascent competition, vertical foreclosure, or potential competition. The DOJ and FTC 2023 Merger Guidelines describe the analytical frameworks the agencies use when reviewing mergers.

Hart-Scott-Rodino analysis should also be addressed early. The HSR Act generally requires parties to certain transactions to file premerger notification and observe a waiting period before closing if jurisdictional thresholds are met and no exemption applies. Thresholds update annually — the FTC’s current HSR thresholds put the 2026 size-of-transaction threshold at $133.9 million, effective February 17, 2026. Diligence should evaluate whether the transaction is reportable, whether any exemption applies, filing timing and fees, competitive overlaps, internal documents discussing competition or pricing, the risk of a second request, and interim operating covenants and gun-jumping concerns.

11. CFIUS, Export Controls, Sanctions, and National-Security Review

Technology M&A may require foreign-investment screening or national-security analysis, especially where a foreign person is acquiring control or certain non-controlling rights in a U.S. technology business. CFIUS review may be relevant where the target involves critical technology, critical infrastructure, or sensitive personal data; the Treasury Department’s CFIUS laws and guidance explain the framework under section 721 of the Defense Production Act and 31 C.F.R. chapter VIII.

Diligence should consider foreign ownership of the buyer, investor, or fund structure; the rights being acquired, including board or observer rights and access to material nonpublic technical information; export-controlled technology and encryption products; government contracts; defense, aerospace, telecom, semiconductor, AI, and critical-infrastructure applications; sensitive personal data and large datasets; sanctions and restricted-party screening; and international customers and end users. These issues should be addressed early because they can affect whether a filing is mandatory or advisable, whether mitigation may be required, and whether closing conditions should be tied to government review.

12. Employment, Founder, and Contractor Diligence

In many technology companies, the most important assets are people. A buyer should understand who built the product, who maintains customer relationships, who knows the codebase, and who must be retained after closing. Review founder employment or consulting arrangements; offer letters, employment agreements, restrictive covenants, and confidentiality agreements; invention assignments; contractor and consultant agreements; worker classification; equity compensation, vesting, acceleration, and change-in-control benefits; bonus, severance, and retention arrangements; immigration and work authorization; and employee disputes or threatened claims.

For buyers, retention planning may be as important as legal documentation. For sellers, resolving invention-assignment gaps and contractor documentation before going to market can reduce friction during diligence.

13. Litigation, Claims, and Regulatory Exposure

Technology companies may face disputes that do not appear in financial statements. Buyers should request a full schedule of claims, threatened claims, investigations, notices, and informal disputes: pending or threatened litigation; IP infringement allegations; customer disputes and refund demands; security incident notices and privacy complaints; employment claims; government inquiries or subpoenas; platform takedowns or app-store suspensions; warranty, indemnity, and service-level claims; and insurance claims and reservation-of-rights letters.

A buyer should also review whether disputes are isolated or systemic. One customer complaint may be manageable. Repeated complaints about product performance, data use, uptime, billing, or security may reveal a broader business risk.

14. Deal Documentation: Turning Diligence Findings Into Protection

Diligence is useful only if findings are translated into the transaction documents. Depending on the issue, the deal team may address risk through purchase-price adjustments; escrow or holdback; special indemnities; representation and warranty insurance exclusions or enhancements; closing conditions; pre-closing remediation covenants; transition services; consent conditions; disclosure schedules; earnout structure; excluded assets or liabilities; or founder retention agreements. The mechanics of caps, baskets, and escrows are covered in our guide to indemnification in a business sale.

Examples: if IP assignment gaps exist, require signed assignments before closing. If a major customer contract requires consent, make consent a closing condition. If a cybersecurity incident remains unresolved, require investigation, remediation, notice analysis, and an indemnity package. If AI training-data rights are unclear, narrow the acquired assets, require remediation, or adjust valuation. If HSR or CFIUS timing is uncertain, build the regulatory process into the outside date and closing conditions. A well-run technology M&A process does not treat diligence as separate from negotiation — the findings should shape the business terms.

When Should You Start Technology M&A Diligence?

For sellers, the best time to start is before going to market. A pre-sale diligence review can identify missing IP assignments, outdated privacy notices, weak contractor agreements, non-transferable customer contracts, unresolved security issues, and cap-table problems while there is still time to fix them. For buyers, diligence should begin before the letter of intent is finalized where possible: the LOI can shape exclusivity, timing, access, regulatory obligations, expense allocation, indemnity expectations, and closing conditions, and waiting until after signing may reduce leverage. For investors, diligence should be calibrated to the stage and size of the investment — a seed-stage review looks different from a control acquisition, but ownership, data rights, cybersecurity, key contracts, and regulatory risk should never be ignored.

How Accord & Shield Helps With Technology M&A Due Diligence

Accord & Shield helps technology companies, founders, buyers, sellers, and investors move through M&A with practical legal guidance and deal-focused execution. We assist with pre-sale readiness reviews for founders preparing for exit; legal due diligence for buyers and investors; IP ownership and invention-assignment review; SaaS, enterprise customer, vendor, and channel-contract review; data privacy, cybersecurity, and AI diligence coordination; antitrust, HSR, and CFIUS issue spotting with specialist support where needed; drafting and negotiating letters of intent, purchase agreements, disclosure schedules, and ancillary documents; founder, employee, and contractor documentation cleanup; and post-closing integration and contract remediation. Our Mergers & Acquisitions and Contract Review & Negotiation practices support this work end to end.

Every transaction is different, but the objective is consistent: identify the issues that can affect value, timing, liability, and closing certainty — then address them before they become closing problems. Technology M&A is not just about closing the deal. It is about preserving the value of what is being bought or sold.

Frequently Asked Questions

This article is for general informational purposes only and does not constitute legal advice. Reading this article does not create an attorney-client relationship with Accord & Shield Legal, PLLC or any of its attorneys. Technology M&A transactions are fact-specific, and legal requirements may vary based on transaction structure, industry, jurisdiction, deal size, ownership, data practices, and regulatory status. You should consult qualified legal counsel before acting on any information in this article or making decisions about a merger, acquisition, investment, or sale, and tax aspects should be reviewed with a qualified CPA or tax advisor. No outcome is guaranteed; prior results or examples of services do not guarantee a similar result in any future matter.