人工智能支持
人工智能正在改变企业创新、保护知识产权和制定战略决策的方式。自2000年成立以来，我们一直在采用新技术，几年来，我们一直在探索和整合生成式人工智能以提供专利服务。首先，我们在服务中利用了人工智能工具来提供更快、更智能、更有效的解决方案，现在我们也可以为您提供帮助。
在这个快速变化的环境中，我们就如何将人工智能嵌入到您的专利工作流程中提供专家建议，从战略推出到成果，例如加快起草过程到更高效地访问数据。
“Mark Lubbock is a high-level operator and tremendously impressive in negotiations.”
Services
We offer joined-up thinking across a comprehensive range of services:
Accelerated patent analysis
Smarter prior art searches
Data-driven insights
Generative AI workflows
Enhanced collaboration
Legal Layer®: guiding you to the best outcome
Our team's fully-connected approach can help you to understand how your dealings with data and algorithms engage different aspects of IP and related areas of law. In this way, we serve as a “Legal Layer” to help you optimize outcomes for your business.
Paths through the neural network represent how certain features of data and algorithms can engage different legal considerations in the Legal Layer. Our Codiphy team considers these all together to optimise the outcomes for your business.
Click the buttons to show some examples of the many paths through the network.
Some AI models are trained on data scraped from publicly-available sources. This may have legal implications. For example, training an AI model using copyright works without obtaining a licence from the rightsholder could result in litigation and/or reputational damage. AI regulations will also play a role. For example, the EU AI Act will oblige General Purpose AI providers to publish summaries of training data and to respect opt-outs from data scraping. Otherwise, they could face penalties under the Act.
Proprietary algorithms may involve IP that can be protected, for example using trade secrets or patents. Competing factors need to be considered to optimise protection of that IP. For example, trade secret protection may extend an early-mover advantage, but will be lost if technical information is publicly leaked. Patents can provide protection even if the technical information is later published or if someone else develops the same idea independently, but filing a patent application for an idea that isn’t patentable may result in a loss of IP. An effective IP strategy will consider these factors and others to maximise the value in the IP.
Original code is protected by copyright, which may be licensed for others to use, for example under an open-source licence. Non-compliance with the obligations of an open-source licence may result in litigation and/or reputational damage. If you are considering releasing code under an open-source licence, it is important that this decision fits in with your business model and wider IP strategy, and that the licence you use supports these. Attempting to change licence terms after release can be difficult or impossible, and can cause reputational damage in the eyes of the open-source community.
AI models may be trained on, or may subsequently process, personal data that relates to an identified or identifiable natural person (including personal data that is publicly accessible). This may have legal implications if the training/processing is not compliant with data protection obligations. The party controlling the processing could face regulatory penalties including orders to stop the processing or using the AI model, litigation between the user and the controller, and/or reputational damage. Providers of AI systems should consider the principle of ‘privacy by design’, as well as ensuring contractual provisions are in place to mitigate the legal risk.
Our innovative combination of experienced specialists
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Discover our featured insights
Stay informed with the latest Consulting developments and the global IP landscape. Tune into our EIP Talks podcast, explore expert insights and browse our published articles and thought leadership, all designed to keep you ahead in the world of intellectual property.
Strategic licensing: Turning IP into commercial value
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我们与客户密切合作，从高管到知识产权团队，释放他们的知识产权的全部潜力。我们由诉讼律师、专利律师和商业知识产权专家组成的综合团队通过保护和战略利用专利来帮助推动业务增长。
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