Estimated reading time: 5 minutes
Summary:
So many tech founders wrongly assume that they can’t patent their AI inventions. They are often told this by their trusted advisors who just don’t know better. For those navigating the complex field of artificial intelligence (AI), understanding patents is crucial. I help startups protect their innovations, especially where AI and tech law collide.
Key Takeaways
- Many tech founders mistakenly believe they cannot patent their AI inventions due to misconceptions about the patenting process.
- The USPTO primarily rejects AI patent applications for abstract ideas; a tangible improvement is necessary to succeed.
- Understanding the Alice/Mayo test is crucial, as it determines if an invention is an abstract idea or has an inventive concept.
- To improve AI patents, focus on practical application, detail implementation, and demonstrate concrete improvements with quantifiable benefits.
- You can definitely protect your AI inventions by grounding them in specific, technical solutions rather than abstract concepts.
Table of contents
Prefer to watch instead? Check out the video below.
Here’s how the US Patent Office actually looks at AI and computer inventions. The patent law doesn’t automatically bar AI from patenting. You just need to be strategic in your application filing. We can look to precedent from the early 2000s, at the start of the modern internet era, to guide today’s AI patent strategy.
The Big Hurdle: Abstract Ideas
The main reason the US Patent and Trademark Office (USPTO) rejects software and AI patent applications is that the applicant claims an “abstract idea.”
An examiner might see your groundbreaking algorithm as a set of mathematical steps, not as a new machine. That’s understandable, because you can’t patent scientific theories or math equations by themselves. You need something more. Many founders describe what their AI does on a conceptual level. They fail to describe how it works as part of a tangible, technical system. This single mistake can sink the entire application.
Understanding the Alice/Mayo Test
The Patent Examiner uses a legal framework called the Alice/Mayo test to decide if an invention is just an abstract idea. You need to know how this works.
The test has two main steps.
First, the examiner asks: Is the patent claim directed to an abstract idea? This includes things like mathematical formulas, mental processes, or methods of organizing human activity (like a business method). Many AI inventions, at their core, involve math and logic, so they often get flagged here.
If the answer is yes, the examiner moves to the second step. They ask: Does the patent claim include an “inventive concept”? This means that you must show something significantly more than the abstract idea itself. Simply saying “apply the algorithm on a computer” is not enough. You need to show a concrete, technical improvement.
How to Write Stronger AI Patent Applications
You can avoid a rejection by framing your invention correctly from the start. Here are three tips to boost your chances of getting your AI patents approved.
1. Focus on the Practical Application
Don’t just describe your algorithm. Describe how your AI solves a specific technical problem in a new way. Frame your invention as an improvement to computer functionality or another technology.
- Weak: “A method for analyzing data using a neural network.”
- Strong: “A network security system that uses a novel convolutional neural network architecture to identify malicious data packets with 30% greater accuracy and less processing power than existing firewalls.”
The strong example above ties the AI to a specific, real-world system and highlights a measurable technical benefit.
2. Get Specific About the Implementation
This is how you demonstrate an “inventive concept.” Avoid vague descriptions, and instead detail how your invention is implemented in a real-world setting. Show the Patent Examiner that you have more than just a formula. You have built a specific tool that just happens to be implemented on a computer. Here’s some examples:
- Describe the system architecture. How does data flow from sensors or inputs, through your model, and to an output?
- Explain the training process, if it is unique. What unconventional data did you use to train your model, and how does that data result in a better-performing system?
- Detail the integration. How does your AI model interact with specific hardware, databases, or user interfaces to achieve its result?
3. Show a Concrete Improvement
Patent law rewards inventions that are new, useful, and non-obvious. You must show how your AI provides an improvement over the old way of doing things.
Quantify the benefits whenever possible. Ask, does your AI system reduce server load? Does it decrease latency or use less memory? Or does it produce more accurate results?
For example, you could state that “the claimed system reduces the time to process a medical image from ten minutes to thirty seconds, allowing for faster diagnosis.” This is a tangible improvement that an examiner can understand.
Conclusion & Next Steps
You absolutely can protect your AI inventions with patents. The key is to avoid the number one mistake – being too abstract.
Ground your invention in a specific, technical solution to a real-world problem. Show how it works, what it improves, and why it’s more than just an idea. By doing this, you move your invention from the realm of the abstract into the world of tangible, patentable technology.
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