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Exploring, reflecting and sharing ideas: Your Guide to the Latest in AI Developments and Patent Analysis

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How to Spot a Weak Patent
How to Spot a Weak Patent (Before You Buy, License, or Rely on It)
Not all patents are equal. Some look strong but collapse under scrutiny. This post reveals how to spot weak claims—before you buy, license, or rely on them—and how Amunet helps you avoid expensive IP mistakes.
2025-06-13

The Hidden Cost of Missed Prior Art
The Hidden Cost of Missed Prior Art — and How to Catch It Before the Examiner Does
Missed prior art can sink a patent, derail an acquisition, or open you up to litigation. This blog breaks down the true cost of oversight—and how AI-powered tools can help you catch it before it costs you.
2025-06-09

Claim Drafting in the Age of AI
Claim Drafting in the Age of AI: Human Craft, Machine Insight
AI won’t replace patent attorneys—but it’s reshaping how claims are drafted. This post explores how smart IP teams use AI for risk detection, structural insight, and faster, stronger claim development.
2025-06-06

Can GPT Like Models Really Understand Patent Claims
Can GPT-Like Models Really Understand Patent Claims?
GPT can rephrase patent claims—but it can’t interpret scope, assess novelty, or flag risk. This blog explores what LLMs get right, what they miss, and why real claim analysis needs more than generic AI.
2025-06-05

From Claims to Code
From Claims to Code: Bridging Software Patents with Source Attribution
In software and AI, legal risk hides in the code—not just in claims. This post shows how smart teams are bridging patents to product architecture to avoid costly overlap and build IP-aware dev stacks.
2025-06-04

Patent Landscape Reports Are Broken
Patent Landscape Reports Are Broken — Here’s What Should Replace Them
Traditional patent landscape reports are slow, static, and hard to use. In 2025, smart IP teams need dynamic, claim-level platforms that deliver real-time insight—not 100-page PDFs. Here’s what should replace them.
2025-05-29

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