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Can You Patent AI Software or an AI App?

Estimated reading time: 8 minutes

Summary

As a patent attorney, startup founders frequently ask me, “Can you patent AI software?” This article explains the strict legal requirements for protecting your artificial intelligence innovations. You will discover how to identify patentable technical improvements in your system and learn crucial timing strategies for filing your application. Founders must understand these exact criteria to secure valuable intellectual property and stop competitors from stealing their hard work.

Key Takeaways

  • Discover why you can patent an AI app when it solves a specific technical problem.
  • Learn how to identify concrete technical improvements, such as faster processing speeds or reduced hardware requirements.
  • Understand the severe danger of claiming an abstract business result instead of detailing a step-by-step technical solution.
  • Identify the exact details you must include in your application, like system architecture and data flow.
  • Master the strict timing rules so you file your application before you disclose your invention to the public.

Table of contents

Prefer to watch instead? Check out the video below.

Dispelling the Software Patent Myth

I talk to software developers and startup founders every day. They often carry a massive misconception about intellectual property. They believe patent laws completely block software from protection. I want to clear up this common myth right now.

Patent offices do not automatically exclude software from patent protection. You can protect AI software, mobile apps, and other computer-implemented inventions. You simply must satisfy specific legal requirements.

Historically, courts struggled with software patents. They worried about granting monopolies on basic math. However, the law provides clear pathways for innovative software today. You just need to know how to navigate those pathways successfully.

Can You Patent AI Software? Yes, But With Conditions

Founders constantly ask me, “Can you patent AI software?” The short answer is yes. However, you need much more than just a clever business idea to succeed.

Many startups make a critical mistake early in their development process. They simply take an existing commercial process and use artificial intelligence to automate it. Under current patent laws, this approach almost always creates severe patent-eligibility challenges.

Patent examiners consider automated business processes as abstract ideas. You cannot patent an abstract idea. You need to dig deeper into the technology itself to find the patentable subject matter. You have to prove that your software makes a computer function better.

Shifting Focus to the Technical Problem

To build a strong patent application, you must focus entirely on the technical problem your invention solves. You have to ask yourself specific questions about your software’s performance and capabilities.

Look closely at your hardware usage. Are you reducing computing hardware requirements? Does your model require less memory to run effectively? Do your algorithms improve data security during wireless data transfers? Does your unique training method improve overall model accuracy?

You also need to evaluate your performance metrics. Are you increasing processing speed? Does your algorithm lower latency for the end user? Does your architecture enhance overall system reliability? The patent office actively looks for these exact technical improvements. When you show a concrete technical improvement, you drastically increase your chances of securing a valuable patent.

Mapping Out Your Technical Solution

Once you define the technical problem, you must describe the technical solution in detail. A solid application maps out your entire system architecture. You cannot just draw a magic box on a piece of paper and label it “Artificial Intelligence.”

You have to explain the complete data flow. Where does the data originate? How does the system clean and prepare that data for processing? You must guide the patent examiner through every single phase of your system.

You also need to outline the specific model operations. You must break down the processing steps one by one. Show exactly how different software and hardware components interact with one another. The more technical detail you provide, the better your application will perform at the patent office.

Handling Neural Networks and Algorithms

If you use a neural network, you must explain the layers and the weighting processes. If you use a specific machine learning algorithm, detail how it processes the inputs to generate the outputs.

Many founders try to hide these details to maintain trade secrets. This strategy usually backfires during the patent process. Patent law requires a full and complete disclosure of the invention. You must teach the public how to make and use your invention.

If you leave out the core algorithms, the patent examiner will reject your application for lack of description. You must strike a balance. Work with your attorney to disclose enough technical detail to satisfy the law while protecting your core business assets.

The Danger of Claiming the Desired Result

A major pitfall founders encounter involves claiming the desired result instead of the technical process. You might think your system is revolutionary. You might write that your system “uses AI to improve customer recommendations.”

That statement alone generally fails the patentability test. Patent offices view that broad statement as an abstract goal. Everyone wants to improve customer recommendations. You cannot own the goal itself.

Instead, you must explain exactly how the system produces that improvement step-by-step. You have to provide the specific technical mechanics. Does your system filter the data differently? Does it apply a novel mathematical formula to recognize new user patterns? You have to claim the “how” rather than the “what.”

Can You Patent an AI App? The Mobile Strategy

This brings us to the mobile application space. Tech entrepreneurs frequently ask, “Can you patent an AI App?” Yes, the exact same rules apply to mobile applications.

However, your mobile app must do more than just display information generated by a remote AI model. The app itself, or the unique way it communicates with the server, must offer a distinct technical solution.

Perhaps your app reduces battery drain on the mobile device while running a heavy AI model. Perhaps your software compresses data in a novel way before sending it to the cloud for processing. You must pinpoint the technical advantage. When you identify that technical advantage, you can confidently pursue patent protection for your AI app.

Protecting the Training Data Process

Artificial intelligence relies entirely on data. Data acts as the fuel for your machine learning models. Many founders overlook the patentability of their data processing methods.

The way you handle training data can often serve as the foundation for a strong patent. Do you have a novel way of cleaning dirty data sets? Does your system automatically label data faster than existing methods?

If you invented a new technical process for training your models, you should evaluate that process for patent protection. Sometimes the most valuable intellectual property lives in the background operations rather than the user-facing application.

Navigating Open Source Software Challenges

AI developers rely heavily on open source code. You might wonder if you can patent something built on open source foundations. You absolutely can, provided you add novel and non-obvious elements to the existing code.

You cannot patent the open source code itself. You can, however, patent your unique integration of that code. You can patent the novel architecture you built around the open source modules.

You must maintain clear records of what code you borrowed and what code you created. This distinction helps your patent attorney draft claims that focus exclusively on your unique contributions to the technology.

Why Investors Look for AI Patents

Startup founders need funding to survive and grow. Angel investors and venture capitalists constantly look for competitive advantages before they write a check. Patents provide a legal monopoly over your technology.

When you secure a patent, you stop competitors from copying your core features. Investors love this barrier to entry. A strong patent portfolio significantly increases your startup’s valuation.

Even a pending patent application shows investors that you take your intellectual property seriously. It demonstrates maturity and strategic planning. You use patents as business tools to secure market share and attract crucial venture capital.

Timing Your Patent Application Properly

Finally, you must pay close attention to timing. You have to evaluate your patent protection options before you make any public disclosure. Many founders wait too long and accidentally destroy their own rights.

Founders often launch their app to the public first. They publish technical documentation on their website. They present their findings at a tech conference. They offer the product for sale to early beta testers.

Any of these actions can completely jeopardize your patent rights. The law imposes strict deadlines after a public disclosure. In many foreign countries, a single public disclosure instantly destroys your ability to get a patent. You should always file your application before you release your product to the world.

The rules surrounding artificial intelligence patents change constantly. The courts issue new rulings every year. The patent office updates its examination guidelines frequently.

You need a partner who understands both the law and the underlying technology. General practice lawyers often struggle with the technical nuances of machine learning. You need someone who can speak the language of your engineering team.

A specialized attorney helps you bridge the gap between your technical achievements and the strict legal frameworks. We help you identify the patentable features, draft the technical descriptions, and fight for your rights at the patent office.

Conclusion and Next Steps

Remember the golden rule of software patents: The question is not simply whether your product uses artificial intelligence. The stronger question is whether your invention provides a specific and adequately described technical solution. You have to move beyond abstract business ideas and showcase your technical improvements.

If you need help protecting your innovations, do not wait until after you launch. Reach out to me today, and we can evaluate your technology together. We will build a strong intellectual property strategy that protects your startup and helps you dominate your market.

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Mark Trenner is a registered patent attorney and the founder of Trenner Law Firm. With over 25 years of experience and degrees in electrical and environmental engineering, Mark bridges the gap between complex innovation and strategic legal protection. He is dedicated to a client-first approach, offering flat-fee services to help inventors and small businesses navigate the IP landscape without the stress of billable hours.