Before You Buy the Code: Why Tech Classification Can Make or Break Your M&A Deal
One of the most common鈥攁nd most dangerous鈥攁ssumptions in a technology M&A deal is that everyone knows what鈥檚 being bought.
In my work advising on transactions involving everything from SaaS startups to blockchain protocols, there鈥檚 always a moment when someone asks, 鈥淪o what are we actually acquiring?鈥� And more often than not, the answer is more complicated than it should be. It鈥檚 not just 鈥渟oftware鈥� or 鈥渃ode.鈥� It鈥檚 a mix of proprietary tools, open-source libraries, third-party APIs, and infrastructure platforms, all cobbled together with varying levels of documentation, ownership, and compliance.
That鈥檚 where technology classification comes in鈥攁nd why we treat it as a core part of our legal process at 海角黑料.
Why Classification Is the First Step in a Smart Deal
Technology classification is the process of identifying and organizing the assets that make up a company鈥檚 tech stack. We鈥檙e not just talking about knowing what tools are in use; it鈥檚 about understanding IP ownership, licensing risks, and regulatory exposure. This goes far beyond basic diligence checklists.
In today鈥檚 innovation-heavy climate, it鈥檚 normal for startups to scale rapidly by building on open-source software, cloud platforms, and AI APIs. But with speed comes complexity鈥攁nd classification is how we make sense of it all. calls it a key lever in tech-enabled M&A, essential for value creation, risk mitigation, and post-deal integration.
The classification process directly impacts valuation, legal risk, and how well a buyer can integrate the acquired business after closing. Ignoring it often results in post-deal disputes or operational headaches that could鈥檝e been prevented with a little more foresight.
A Story from the Trenches
Not long ago, we advised a client who was acquiring a fast-growing SaaS platform. The product looked great鈥攃lean UI, customer traction, solid growth metrics. But when we dug into the codebase, we found it was stitched together with open-source software governed by 鈥攁 restrictive license that requires derivative works to also be open source.
The problem? The company hadn鈥檛 complied with any of the license terms. No attribution, no documentation, and no plan for how that risk might transfer post-close. Suddenly, what looked like a proprietary, ownable asset became a potential liability. We had to restructure parts of the deal, push back closing, and re-negotiate key indemnification clauses.
It was a valuable product鈥攂ut because it hadn鈥檛 been classified properly, it almost wasn鈥檛 a sellable one.
The Hidden Risks in a Modern Stack
In today鈥檚 ecosystem, modern software is rarely built in isolation. Most startups build fast, using layers of open-source libraries, infrastructure-as-a-service platforms, API integrations, and more. In fact, studies show that of most commercial software applications.
But that speed comes with blind spots. A single misused open-source license, a forgotten dependency, or an unclear IP assignment can create downstream issues that derail even the most promising M&A.
If you鈥檙e a buyer, classification helps you understand what you鈥檙e really buying鈥攁nd whether you can actually own and operate it. If you鈥檙e a seller, it shows you鈥檝e done your homework and de-risked the deal for everyone involved. That builds confidence and accelerates closings.
What We Look For (and Why It Matters)
At 海角黑料, we begin every technology deal with a deep classification conversation. This isn鈥檛 about box-checking鈥攊t鈥檚 about understanding what makes the company work and where risk may be hiding.
We ask key questions: Was the code developed by employees or contractors? Are there signed in place? Does the product depend on public APIs like or ? Are there compliance obligations tied to data handling under frameworks like or ?
When we understand the composition of the tech stack, we can write stronger documents: Reps and warranties that reflect real-world IP risk. Tailored indemnity structures based on known issues. Escrow and holdbacks that make sense. Contractual frameworks that help protect everyone involved.
Clean Code, Faster Closings
Companies that go through classification before diligence always stand out. Their documents are cleaner. Their risk is lower. Their story is stronger.
Compare that to a startup that hasn鈥檛 audited its dependencies or doesn鈥檛 know how its infrastructure is licensed. Even if the product is amazing, the uncertainty slows everything down. In competitive deal environments, that kind of delay can cost the deal鈥攐r the valuation.
recently highlighted how technology ownership鈥攏ot just usage鈥攑lays a growing role in how deals are priced, structured, and integrated. The more confident a buyer feels in the tech story, the more comfortable they are paying a premium for it.
Don鈥檛 Wait Until You鈥檙e in Diligence
If you鈥檙e a founder, don鈥檛 wait until diligence starts to figure out your tech stack. Start now. Audit your licenses. Clean up your IP chain. Document how your product is built鈥攁nd by whom.
If you鈥檙e a buyer, make classification part of your first look. It tells you what you鈥檙e really buying, what you can depend on, and where you might need protection.
Ultimately, classification isn鈥檛 about slowing deals down. It鈥檚 about building confidence鈥攁nd that makes everything go faster.
Let鈥檚 Talk
At 海角黑料, we鈥檝e advised on deals involving bleeding-edge technologies鈥攆rom AI-native platforms to Layer 2 scaling protocols. We speak both legal and technical fluently, and we help our clients bridge the gap between founders, developers, and dealmakers.
If you鈥檙e working on a deal鈥攐r planning one鈥攚e鈥檇 love to help you get the tech story straight from day one.
