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The April Guidance, which supplements prior guidance issued in February, seeks to remind practitioners of existing rules and to educate them on potential risks associated with artificial intelligence tool use, allowing practitioners to mitigate these risks.
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The downfall of the Rosen-Durling test will generally make it harder to obtain design patents and easier to invalidate design patents.
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Licensing inventions vis-a-vis the licensing of patents is not a new practice by any means. However, the explosion of innovation in industries such as technology and pharmaceuticals has placed patent licensing at the forefront of economic advancement.
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This article explores the benefits and risks of AI-driven drug discovery from the legal perspective. Since the law governing IP rights in AI-driven drug discovery is still in its infant state, any future legal development is likely to have significant implications in many areas.
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A statutory predicate to the contractual outcome regarding ownership of patent rights is the requirement of a sufficient contribution by a natural person in the effort that yielded the output. The issues implicated by this requirement are one development among more to come as patent law and policy try to catch up to proliferating AI technology.
Columns & Departments
Federal Circuit Weighs On the Patentability of Claims to Targeted Advertising Federal Circuit Clarifies the Result-Effective Variable Doctrine
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The United States Patent and Trademark Office recently published new guidance explaining the requirements for patent examiners to reject patent claims for obviousness in view of what was already known in the prior art.
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As technology continues to permeate the legal industry, the significance of IP in safeguarding innovations, ensuring fair competition, and fostering a culture of creative legal solutions becomes paramount.
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The possibilities for patenting innovative applications of multimodal models across industries are endless.
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Just like any new technology, efforts to protect and enforce intellectual property on AI-based technologies are likely to be hampered by a lack of both a unified governing framework and a common understanding of the technology.