Skip to main content

IP for startups: When (not) to patent your inventions

When it comes to intellectual property, “patents” might spring to mind. A good patent can give startups a competitive edge, and once you’ve been granted one, nobody can come and mess with your technology, right? Not so fast. A lot is changing in the patents world, and things can quickly start to get complicated.

We spoke with Michele Moreland, general partner at Aventurine, a venture fund that is taking an IP-first approach to investing. Moreland has been at the cutting edge of IP strategy throughout her career and has been responsible for $3 billion in patent verdicts as a portfolio strategist. As a trial lawyer, Moreland represented some of the most important tech companies of our time, including Qualcomm, Amgen and Nvidia.

In this article, we’ll explore what to look for when hiring patent counsel, how much it typically costs to file a patent, the difference between provisional and full patents, how patents can be an important part of your IP strategy, and why trade secrets may be a better bet in some cases.

What’s a provisional patent?

The America Invents Act (AIA) was passed in 2011, dramatically changing how patents work in the U.S. Until 2011, the U.S. was a “first to invent” system, meaning that if you were the first person to come up with an invention, the patent was yours. The new system is more aligned with patent systems across much of the rest of the world and is a first-to-file system. We went from a race to build to a race to the patent office.

Of course, writing up a full patent application is nontrivial, and that’s where provisional patents come in. A provisional patent application (PPA) is a legal document filed in the United States Patent and Trademark Office that establishes a filing date. This patent does not automatically become an issued patent: Applicants have a year to apply for the full patent (sometimes known as a utility patent). A provisional application allows inventors to secure a “patent pending” status for their invention without engaging in the full, formal patenting process.



from TechCrunch https://ift.tt/ErHbzQK
via IFTTT

Comments

Popular posts from this blog

Apple’s AI Push: Everything We Know About Apple Intelligence So Far

Apple’s WWDC 2025 confirmed what many suspected: Apple is finally making a serious leap into artificial intelligence. Dubbed “Apple Intelligence,” the suite of AI-powered tools, enhancements, and integrations marks the company’s biggest software evolution in a decade. But unlike competitors racing to plug AI into everything, Apple is taking a slower, more deliberate approach — one rooted in privacy, on-device processing, and ecosystem synergy. If you’re wondering what Apple Intelligence actually is, how it works, and what it means for your iPhone, iPad, or Mac, you’re in the right place. This article breaks it all down.   What Is Apple Intelligence? Let’s get the terminology clear first. Apple Intelligence isn’t a product — it’s a platform. It’s not just a chatbot. It’s a system-wide integration of generative AI, machine learning, and personal context awareness, embedded across Apple’s OS platforms. Think of it as a foundational AI layer stitched into iOS 18, iPadOS 18, and m...

The Silent Revolution of On-Device AI: Why the Cloud Is No Longer King

Introduction For years, artificial intelligence has meant one thing: the cloud. Whether you’re asking ChatGPT a question, editing a photo with AI tools, or getting recommendations on Netflix — those decisions happen on distant servers, not your device. But that’s changing. Thanks to major advances in silicon, model compression, and memory architecture, AI is quietly migrating from giant data centres to the palm of your hand. Your phone, your laptop, your smartwatch — all are becoming AI engines in their own right. It’s a shift that redefines not just how AI works, but who controls it, how private it is, and what it can do for you. This article explores the rise of on-device AI — how it works, why it matters, and why the cloud’s days as the centre of the AI universe might be numbered. What Is On-Device AI? On-device AI refers to machine learning models that run locally on your smartphone, tablet, laptop, or edge device — without needing constant access to the cloud. In practi...

Max Q: Psyche(d)

In this issue: SpaceX launches NASA asteroid mission, news from Relativity Space and more. © 2023 TechCrunch. All rights reserved. For personal use only. from TechCrunch https://ift.tt/h6Kjrde via IFTTT