知识产权战略

连贯的专利战略建议对任何企业都至关重要，从希望处理个人专利问题的初创企业到管理跨国专利组合的老牌公司。

增加价值

我们的策略师在管理国际知识产权组合的大型企业内部工作了多年，他们利用这些经验来制定流程和程序，以保证最佳的知识产权治理实践。

通过知识产权的战略管理，可以为企业增加显著的价值。我们通过针对国防、开发和商业潜力进行优化，从客户的知识产权中创造价值。

‍

专利盒子 — Patentise™

获得专利是 EIP 的专有服务。它旨在帮助公司最大限度地提高英国专利箱的价值。

Patentise提供对公司专利组合的全面审计，并针对专利箱对其进行优化。对于没有专利的公司，我们提供指导并制定专利策略。

我们的专利团队与客户或其顾问合作，确保专利策略与这项新的税收减免完全一致。

‍

知识产权审计增强计划

知识产权审计增强计划由英国知识产权局（UKIPO）设计，为高增长的中小企业提供了进一步了解和评估其知识产权的机会。该计划通过为知识产权审计提供财政支持来支持中小企业的发展。 与我们的团队联系以了解更多信息！

What our clients say

“Mark Lubbock is a high-level operator and tremendously impressive in negotiations.”

‍

— Chambers UK 2021

Services

We offer joined-up thinking across a comprehensive range of services:

Enhanced collaboration

Data-driven insights

Guidance for every stage of growth

IP strategy development and optimization

Leveraging IP and exit strategies

Proactive advice on patents and exclusivity

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.

Speak to an expert

Our innovative combination of experienced specialists

我们的策略师在管理国际知识产权投资组合的大型企业内部工作了多年。

‍