IPGATE is built by a small group of people with unusual backgrounds. This series gives them the page, in their own words.
Jonas Block spent years in patent litigation at leading international firms, representing companies from innovative SMEs to multinationals before German courts, with a focus on standard essential patents and licensing disputes. He holds a PhD in law from the University of Freiburg, where his research explored the automated licensing of standard essential patents using AI and blockchain technology. He now advises companies at IPGATE on product strategy and innovative IP solutions, helping navigate complex licensing challenges. His subject here is what Freedom to Operate analysis misses, and why the future of licensing requires bundling technology far beyond patents themselves.
You've spent many years litigating patent disputes. How did that shape what you now see as the real problem in licensing?
Litigation teaches you the gap between what the law permits and what technology demands. A patent license tells you what you cannot be sued for. It does not tell you how to build the thing you are now allowed to build. I have sat in rooms where a company won the right to use a patented technology, and the victory turned into years of redundant R&D because they had the legal permission but not the engineering knowledge to implement it efficiently. They had freedom to operate. They did not have the ability to operate. That distinction is material, and it is invisible to most Freedom to Operate analysis.
The traditional FTO assessment is backward-looking. You identify third-party patents that might read on your planned product and you evaluate infringement risk. If blocking patents exist, you design around them, negotiate a license, challenge validity, or accept the risk. This framework is still essential. But it is fundamentally incomplete. It asks: what existing rights constrain what we want to build? It does not ask: what would we need, beyond legal clearance, to actually build it efficiently?
In fast-moving technology sectors, the answer is consequential. The time and cost of independent development, reverse-engineering from a patent specification, validating an implementation without the licensor's testing data, integrating a component without knowing the design assumptions behind it, often exceed the license cost itself by an order of magnitude. When development cycles are measured in months, the time dimension alone determines whether a product reaches market or becomes obsolete before it ships.
Walk me through what that friction looks like in practice. The automotive case seems especially acute.
Take a connected braking system. It is not a discrete mechanical component. It is a convergence of actuator engineering, real-time embedded software, sensor fusion algorithms, functional safety architectures compliant with automotive standards, vehicle-to-vehicle communication interfaces, and over-the-air update capability. The patent landscape spans hundreds of families across mechanical, electrical, and software domains, held by dozens of entities from established OEMs to semiconductor companies to university spin-offs.
A Tier 1 or Tier 2 supplier tasked with developing this system faces a journey that looks roughly like this. First, an FTO analysis across relevant patent classifications. Six months minimum, substantial legal costs. Then, for each blocking patent identified, bilateral license negotiations, each with its own timeline, its own commercial terms, its own confidentiality constraints. After you clear the landscape, you have secured the legal right to practice the relevant inventions. You do not have the engineering knowledge to implement them efficiently.
A patent specification discloses enough to satisfy enablement requirements. It does not disclose the calibration parameters that make the invention work reliably across operating conditions. It does not include the validated software libraries, the integration specifications that ensure interoperability with a vehicle's central compute architecture, the design trade-offs considered and rejected, the failure modes encountered and resolved. That is accumulated engineering judgment, and it lives nowhere except inside the organizations that created it.
So the licensed supplier develops all of this independently. Extended timelines. Redundant R&D. Elevated integration risk, surfacing late, when it is most expensive to address. In a component as complex as a connected braking system, the difference between independent development and development built on comprehensive know-how transfer is measured in quarters, not weeks. In an industry where platform cycles are compressed and component delays cascade through the entire supply chain, that acceleration has direct commercial implications and safety implications.
What would a licensing program look like if it solved for the implementation problem, not just the legal problem?
You bundle the patents with the knowledge required to practice them. This is not novel in isolation. Technology transfer agreements have long included know-how provisions, software licenses, and technical assistance alongside patent grants. What has historically been impossible is doing this at scale, across multiple licensors and licensees, with standardized terms and manageable transaction costs. The bilateral technology transfer agreement works for a single licensor-licensee relationship. It does not scale to a technology domain with potentially dozens of licensees and dozens of patent holders.
A standardized licensing program with prebuilt asset bundles changes that. You define standardized tiers of access: basic patent-only licenses on one end, comprehensive packages on the other, including reference implementations, integration specifications, documented best practices, and even on-demand engineering support. If multiple technology proprietors team up under a standardized program, algorithmic allocation mechanisms account for the relative value of different contributions. A contributor who provides validated software and engineering documentation receives appropriate compensation relative to one who contributes patents alone.
For the braking system supplier, the difference is substantial. Instead of independently developing the interface between a sensor array and a brake controller, a task involving not just coding but extensive validation against functional safety requirements, the supplier builds on a reference implementation already validated by its contributors. Instead of inferring integration constraints from patent disclosures and standards documents, the supplier accesses documented specifications reflecting actual design assumptions. Instead of discovering failure modes through its own testing, the supplier consults a shared knowledge base reflecting the collective experience of contributors and prior implementers.
This also changes the character of the FTO assessment itself. FTO becomes less about identifying obstacles and more about understanding what is available. The question shifts from 'which patents do we need to clear?' to 'which program or combination of programs provides the most complete foundation for what we want to build?' This matters particularly in automotive because of the interaction between IP risk and product liability. A company that has undertaken thorough FTO analysis and can demonstrate it relied on documented, validated technical knowledge in its implementation is in a materially stronger position, both in patent litigation and in product liability proceedings.
Is this a shift in how licensing should work, or a response to a specific industry dynamic?
Both. Automotive is an especially acute case because of the simultaneous convergence of electrification, connectivity, autonomy, and software-defined architectures. The patent landscape is dense and fragmented. Technologies are deeply interdependent. The pace of change rewards rapid integration over independent invention. But this pattern exists across technology-intensive sectors. Any field where the patent landscape is complex, technologies are interdependent, and development cycles are compressed faces the same friction.
The evolution from patent licensing to technology licensing is not a departure from established IP principles. It is a natural extension of those principles to reflect the realities of modern technology development. The value of a patented invention is inseparable from the know-how required to practice it effectively. Patent pools, when available, that limit themselves to aggregating and licensing patent rights address part of this problem. Licensing programs that extend their scope to include know-how, software, and trade secrets, structured with adequate safeguards and fair allocation mechanisms, address it more completely. They reduce not only the legal transaction costs of licensing but also the technical transaction costs of implementation. They allow companies to allocate R&D resources to differentiation rather than replication. And they create a framework in which the collective knowledge of an industry's participants can be shared in a controlled, compensated, and legally sound manner.
Key Takeaways
- 01Freedom to Operate is necessary but insufficient.A patent license permits you to practice an invention. It does not convey the engineering knowledge required to implement it efficiently.
- 02The real friction is technical, not legal.Time and cost of independent development often exceed the license itself by an order of magnitude, compressing innovation cycles and delaying market entry.
- 03Bundling transforms licensing from gatekeeping to enablement.Standardized programs that package patents with reference implementations, software, specifications, and shared knowledge reduce both legal and technical transaction costs.
- 04Fair allocation mechanisms scale the bundling.Algorithmic compensation ensures that contributors of software and know-how receive appropriate returns relative to patent holders, enabling multi-party programs.
- 05Implementation knowledge is rarer and more valuable than patents.The design assumptions, failure modes, and integration lessons accumulated over years cannot be extracted from a patent specification, and they determine whether a technology actually ships.
Conclusion
The licensing frameworks we use today were built for a simpler technology landscape. When innovations were more discrete, development cycles longer, and interdependencies fewer, a patent license and a legal right to operate were often sufficient. That world has shifted.
The question now is not whether a licensing program can reduce legal exposure. It is whether it can reduce the time and cost of actually building something. That requires rethinking what we bundle, how we allocate value, and what we mean when we say a technology is licensed for use. Patent licensing remains essential. But implementation is where the real barrier now sits.
The future of licensing is not better patent management. It is making the knowledge required to practice patents actually available.