DEV Community

Cover image for Patenting AI: Why Technical Contribution Matters (And How to Manage IP Smartly)
Thomas Delfing
Thomas Delfing

Posted on

Patenting AI: Why Technical Contribution Matters (And How to Manage IP Smartly)

Artificial Intelligence (AI) isn’t just a buzzword anymore—it’s shaping entire industries. From medical diagnostics to self-driving cars and intelligent automation, AI is everywhere. But there’s a challenge: can you even patent an AI innovation?

The answer isn’t always yes. Here’s why:


1. AI Patents Need a Technical Contribution

In Europe, the European Patent Office (EPO) says an AI invention must solve a technical problem to be patentable.

  • Pure algorithms or abstract mathematical models? Not patentable.
  • AI that speeds up hardware processing or detects heart rhythm anomalies? Yes, that’s technical. This is called the COMVIK approach—patents are granted only when the AI has a clear technical effect.

2. Europe vs. USA

  • EPO (Europe): Focuses on technical core and proof of real-world impact.
  • USPTO (USA): More flexible, looks at practical application and economic benefits.

If your AI product is global, you need to plan for both systems early on.


3. Documentation Matters (A Lot)

You can’t just say “we use AI” in a patent. You must:

  • Explain how the AI is integrated.
  • Show what problem it solves.
  • Provide evidence that the result is reproducible.

As one expert put it: “If you want patent protection for AI, you must open the black box.”


4. Managing Patents Efficiently

Patent management can get messy fast, especially when working with multiple regions and deadlines.
One solution is gweb by @genese—a web-based IP management platform that:

  • Tracks your deadlines,
  • Integrates with European patent and trademark offices,
  • Simplifies document workflows. It’s an example of how digital tools are changing the way innovation is protected.

4. Managing Patents Efficiently

Patent management can get messy fast, especially when working with multiple regions and deadlines.
One solution is** gweb by @genese**—a web-based IP management platform that:

  • Tracks your deadlines,
  • Integrates with European patent and trademark offices,
  • Simplifies document workflows.

It’s an example of how digital tools are changing the way innovation is protected.


Takeaway

If you’re building AI products:

  • Focus on clear, technical contributions.
  • Document everything so it’s patent-ready.
  • Consider using IP management tools to avoid costly mistakes.

Because in the AI world, innovation is valuable—but protecting it properly is priceless.


Top comments (0)