The physical AI race will be won in the patent office - The Robot Report

Lightbringer’s co-founders and board members, from left: CTO Markus Andreasson, CEO Dominic Davies, and CCO Ola Wassvik. Source: Lightbringer

Developments in AI, machine learning, and automation have given robots capabilities that would have seemed extraordinary a decade ago. As competition intensifies, the physical AI race is becoming less likely to be won by whoever builds the best robot, and more likely to be won by whoever owns the technology that determines its behavior.

This is a particularly complex intellectual property (IP) landscape because those innovations can span hardware,software,AImodels, and calibration methods. The most valuable invention may not be the robot itself, but the technology that enables it to behave in a particular way.

I’ve spent 20 years as a patent attorney and filed more than 300 patents acrossindustrialautomation. The pattern is consistent: Thestartupsthat lose out are the ones that delay.

Robotics founders need to decide what to patent, what to keep secret, and how to protect their most important technologies before competitors do. Failure to do so could leave them locked out of their own core mechanisms, blocked from the market, or acquired for parts instead of value.

In some cases, the robot isn’t the innovation; its behavior is

Boston Dynamics’ 2022 lawsuit against Ghost Robotics forinfringement of “core technology” that dictated how the robot recovered if it fell overillustrates this idea particularly well.

Similar challenges are faced by startups operating in the field ofswarmrobotics, where the technical innovation is often an interaction between dozens of machines that produces behavior no individual machine could achieve alone. This raises a question the law hasn’t fully answered yet: Can you patent the behavior of the swarm, or only the machines that produce it?

Patent offices including theEuropean Patent Office have indicated thatdepending on the interaction between different entities, patent claims may need to define the individual entities and/or the overall system, including how the entities interact. In some circumstances, the claim may need to be limited to the combination of those entities.

While Boston Dynamics and Ghost Robotics wereable to resolve their dispute in 2025, the reality is that in ambiguous IP scenarios, startups rarely have the upper hand due to the high litigation budget required to defend patents. As such, in a sector moving this fast, a strong IP strategy must be deployed from the outset — it can’t be something you get to after the Series A.

On the left, Ghost Robotics’ Vision 60 quadruped. On the right, Boston Dynamics’ Spot quadruped. | Source: Ghost Robotics, Boston Dynamics

A strong IP strategy doesn’t necessarily mean more patents

A strong patent portfolio should be the foundation of every robotics IP strategy. AsRoboSense’s IP head warned last year, patent disputes in robotics are likely to multiply as they did in the smartphone industry in the 2010s, when globallegalbattles showed how patents could shape licensing, acquisitions and market control.

This does not mean patenting every component. A robotics startup that tries to do this will run out of engineering time before it runs out of components to patent. And while it’s filing the 40th application, a competitor will file first on the one that really mattered.

Know that some of your best inventions shouldn’t be published

A patent is a publication. For some innovations, this is the last thing you should do.

For example, for a manufacturing process or calibration technique that is difficult to reverse-engineer from the finished robot, keeping it confidential may be a more cost-effective way to retain competitive advantage than filing a patent.

For strategically sensitive innovations, such as in defense technology, a published patent could tell competitors – and adversaries – exactly which problem you solved and where your advantage sits.

By contrast, a patent is likely to make more sense when an invention is embodied in the finished product and could be reverse-engineered by a competitor. For example, a novel robotic mechanism that enables a robot to move faster, more precisely or more efficiently would be difficult to keep secret once the robot is on the market. In that case, patent protection can give the startup a period of exclusivity over the mechanism.

Focus on the one or two inventions the robot can’t work without

When a startup does come to build its patent portfolio, the aim should not be to try and patent an entire machine. Startups should aim to identify one or two novel mechanisms, architectures, or processes that are central enough to the function of the robot that without which, it would be genuinely difficult for competitors to copy the robot.

This was an approach that we helped London-based food-assembly robotics startupKAIKAKUto use in building its strategic patent portfolio. The problem that KAIKAKU solved was never moving a bowl from one place to another. It was moving it at speed without making a mess. This behavior was achieved through a core motion mechanism that was novel and central enough to the function of the robot that it became one of its “crown jewel” patents.

KAIKAKU patented its motion mechanism for food bowl assembly. Source: Lightbringer

Make it more difficult to design around the core patent

Once the crown jewel inventions are secured, startups can build a wider defensive ecosystem to protect the surrounding architectures that make the core innovation commercially useful — and that a competitor might otherwise use to design around the core patent.

The result is layered. A few patents protect the advantage itself. A wider ring of patents makes designing around it expensive enough that most competitors won’t try. For startups, this can create not only stronger protection against competitors, but also greater leverage in licensing,investment, partnerships and potential acquisition discussions.

Take advantage of AI to make quality patent protection affordable

For a resource-constrained startup, even the most streamlined patent portfolio can be a huge financial burden. A single European application, properly drafted and prosecuted, runs €13,000 to €18,000 ($14,636.7 to $20,266.2 U.S.) or more once attorney fees are included. Multiply that across three or four crown jewels and a defensive ring, and you have a line item most seed-stage founders can’t justify.

The challenge is to find a commercially viable IP strategy without compromising on the patent quality, and without diverting scarce resources away from product development.

Here, advancements in AI provide a clear opportunity to make quality IP management and patent filing accessible for startups. Most of the work that goes into a patent is not judgment. It is documentation, analysis and drafting. When AI does that groundwork and a qualified patent attorney reviews, refines and takes responsibility for what gets filed, the economics change.

Filing gets up to 70% faster and the attorney’s time goes where it should: on the judgment calls, and at a fraction of the traditional cost. In a market like physical AI, this is the difference between protecting the inventions that matter and leaving them to chance.

Lightbringer’s platform for IP portfolio management. Source: Lightbringer

Don’t count your physical AI patents. Weigh them

The physical AI race will not be won by the company with the most patents. Patents alone won’t get a robot to market, either. But when a company’s advantage rests on a handful of hard-to-replicate mechanisms, leaving them unprotected is a no go.

The right approach is therefore strategic rather than quantitative. Identify the crown-jewel technologies that make the robot valuable, decide which should be patented and which should remain secret, and build a defensive ecosystem around them, using an AI-native patent platform to streamline the cost and complexity.

For startups, the value is not simply the ability to file more patents, but also the ability to spend more of their limited legal and engineering resources identifying, protecting, and strengthening the innovations that matter most.

About the author

Dominic Daviesis co-founder and CEO ofLightbringer, one of the first AI-native patent services. Dominic is a former software engineer turned U.K. and European patent attorney who previously founded patent consultancy Invent Horizon IP after practicing with leading London IP firms. He is also co-founder and investment manager at Immetric, an investor in IP-rich startups.