With the recent press release from SIM IP and Tangibly, a client recently asked me a simple but important question: how does litigation funding actually work? The missing piece in trade secret enforcement Litigation is expensive, and intellectual property litigation...
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When AI patent tools become the most valuable trade secrets
A newly filed lawsuit in the Northern District of California centers on alleged trade secret misappropriation involving an AI powered patent analysis and management tool. VideoLabs, Inc., a Silicon Valley based intellectual property licensing and patent aggregation...
To patent or not to patent?
To patent or not to patent, that is the right question. Don’t get us at Tangibly started on “patent vs. trade secret” or “patent or trade secret”. There’s no reason why a creative IP advisor can’t consider both patents AND trade secrets. The right initial question to...
The AI IP Gold Rush Meets the § 101 Minefield
We are living in an artificial intelligence (AI) gold rush. From large language models that write code to machine learning systems that optimize logistics or predict disease, AI innovations are transforming nearly every sector. For many companies, especially startups...
Can AI be an inventor? USPTO clarifies the role of human inventors
The USPTO issued new inventorship guidance for AI assisted inventions on November 28, 2025, relating to the hot topic of AI-assisted inventions. Please note that this only applies to examiners within the USPTO, and not to courts, congress, other countries’ patent...
Episode 19: From Copyright to Trade Secrets: Anthropic’s Impact on AI & IP
In this episode Tim and Chris unpack the Inevitable Disclosure Doctrine, a century old trade secret rule that began in 1902 when a sugar refinery worker was blocked from joining a competitor. They explain how the doctrine works, the three factors courts consider, and how it is used to prevent potential misuse of trade secrets before any misappropriation occurs. The conversation explores how different states treat the doctrine, reviews the landmark PepsiCo v Redmond case, and looks at how its use has shifted from senior executives to highly skilled engineers, especially in the AI industry. As noncompete agreements face bans and tighter restrictions across the United States, the doctrine is becoming a more important tool for protecting valuable trade secrets.
Takeaways: AI is Eating Your Intellectual Property (IP)
Overview In the latest IAM Saturday Opinion, Tangibly’s Chris Buntel and Tim Londergan explore how artificial intelligence is transforming the foundation of intellectual property. Using Gemini 2.5 Pro, they examine how AI is weakening the core legal standards that...
Why Are Trade Secrets Becoming More Important in the AI Era?
Why are trade secrets becoming more important in the AI era? The rapid rise of artificial intelligence is changing how companies create, use, and protect intellectual property. While patents remain a critical part of an IP strategy, they are not always the best way to...
What is a holisitic IP Portfolio
What is a holistic IP portfolio? A holistic IP portfolio is a coordinated strategy for protecting all forms of a company’s intellectual property, from patents and copyrights to trade secrets and proprietary information, in a way that strengthens business value and...
How To Keep AI From Stealing Intellectual Property
Artificial intelligence presents both opportunities and risks for businesses. While it drives innovation and efficiency, it also creates vulnerabilities for intellectual property. Companies invest heavily in proprietary technologies, designs, and processes, only to find that AI systems can expose or replicate these assets. Protecting IP in the AI era requires a proactive strategy that combines legal protections, strict oversight, and employee awareness to prevent AI from becoming a liability.
The Intersection of Artificial Intelligence and Intellectual Property
Artificial intelligence (AI) has transformed the way we create, innovate, and safeguard ideas, but it also introduces intricate questions around intellectual property (IP). The storage and processing of user input by AI models is a central concern. Information uploaded to an AI system, such as text, images, or other data, often becomes incorporated into the model’s memory, either temporarily or permanently. This blurring of lines between user contribution and machine learning challenges traditional IP frameworks. For example, determining ownership rights in AI-generated music based on user input becomes complex. As AI systems advance, legal systems globally are grappling to define ownership and protect creators within this evolving landscape.
Policy and Investment Recommendations for Trustworthy AI
Policy and Investment Recommendations for Trustworthy AI As artificial intelligence charges forward at an incredible pace, organizations find themselves on a tightrope, balancing lightning fast innovation with the crucial protection of their most valuable assets. The...
我们与索尔-尤因(Saul Ewing)共同举办的人工智能网络研讨会大受欢迎
我们的网络研讨会结合了 2023 年和 2024 年最热门的两个话题--人工智能和商业秘密。我们讨论了人工智能本身如何受到商业秘密的保护,以及人工智能的输出如何成为商业秘密。人工智能给法律行业带来了一些有趣的难题,因为知识产权法是建立在人类创造新事物而不是机器创造新事物的概念之上的。例如,专利发明人必须是人类,版权创造者也是如此。如何更好地保护人工智能的宝贵成果?
具有先进人工智能功能的增强型商业秘密仪表板和专利 X-Ray
我们很高兴地宣布 Tangibly 平台的最新进展。 最近,我们在用于识别和管理商业秘密的综合工具箱中部署了两项新功能。
长青,商业秘密风格
既然专利可以长青,为什么商业秘密就不可以呢?
在专利领域,"常青化 "是一种随着时间推移提交更多专利申请的策略,以 "延长 "对有价值的核心技术的专利保护。制药业是最著名的 "常青 "策略使用者,尽管移动电话行业也在迅速采用这一策略。
窃取商业机密:三星前高管在中国复制芯片工厂的失败尝试
Last month (June 2023) a former Samsung Electronics executive and six others were arrested and indicted for theft of trade secrets and bringing the secrets to China to set up a competing factory. He had worked 18 years at Samsung and 10 years at SK Hynix. The...










