Author: Aindrila Mitra
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Why Examiners May Be Skeptical of AI-Written Applications
Let’s be real. AI is everywhere now. It’s writing code, emails, product descriptions—and yes, even patent applications. And while that might sound fast and easy, there’s one big problem: patent examiners aren’t buying it. Examiners Read for Clarity, Not Hype Patent examiners aren’t trying to trip you up. They’re simply looking for something that feels…
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Regulatory Uncertainty for AI in Patent Practice
Patents are supposed to give inventors clarity and confidence. But when it comes to AI, the rules aren’t so clear.If you’re building with AI—whether it’s a smarter model, a clever automation, or a product that thinks on its own—you’ve probably wondered: Can I even patent this? Or worse: What if the law changes later? AI…
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How AI Drafting Can Undermine Patent Scope
Today, AI tools can draft patent applications in seconds. Sounds amazing, right? But here’s the catch—when it comes to protecting your invention, the quality of what’s written matters more than how fast it’s done. A poorly written patent isn’t just a missed opportunity. It’s a trap. It can lock you into narrow claims, leave key…
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The International Filing Risks of AI-Generated Applications
So, you’ve built something smart—maybe it’s a clever algorithm, a machine learning model, or a full-blown AI product. You’re moving fast, solving real problems, and probably thinking about protecting your work. Makes sense. AI Can’t Be the Inventor—And That’s a Big Deal When businesses start using AI tools to draft patent applications, they often don’t…
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Inconsistent Terminology in AI-Written Patent Claims
When you’re building something new—especially in AI or deep tech—you move fast. You write code, test it, ship it, tweak it, and keep going. And maybe, somewhere along the way, you start thinking: We should probably patent this. That’s when things get tricky. What Happens When Patent Language Gets Messy Let’s say you’ve built something…
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When AI Gets Technical Descriptions Wrong
You’ve built something complex—smart software, a breakthrough model, maybe even a system that could change your entire industry. It works. It’s real. And now, it needs to be explained clearly so others—investors, users, the patent office—can understand it. Naturally, you turn to AI. It’s fast, it writes well, and it seems like a no-brainer. But…
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The Danger of Boilerplate Language in AI Patent Drafts
Boilerplate language in AI patent drafts isn’t just a bad habit—it’s a real threat to your protection. When founders or engineers reuse generic phrases from old patents, or rely on auto-filled templates that aren’t tailored to their invention, they risk filing something that sounds technical but says nothing. And in AI, where every model, dataset,…
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Confidentiality Risks in Cloud-Based AI Drafting Tools
If you’re building something new, you probably care a lot about speed. That’s why cloud-based AI tools can feel like a dream—type in a prompt, get a draft, move fast. But if you’re working on something valuable—like a new product, a unique algorithm, or anything that could turn into real intellectual property—these tools might be…
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Common Formatting Errors in AI-Written Patent Applications
Getting a patent is about more than just having a good idea. It’s about making sure that idea is written down in a clear, correct, and official way. And when startups or inventors use AI tools to help write patent applications, that’s where things can get tricky. AI is fast. It can write a lot.…
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Why AI-Generated Applications May Increase Office Actions
Getting a patent is hard enough. The last thing any startup wants is more roadblocks. But here’s the thing: if you’re using AI tools to write your patent applications without human help, you’re probably setting yourself up for trouble. The Problem with “Generic AI” in Patents AI is a powerful tool, but only when it’s…