Core AI

Our Core AI Team combines deep technical knowledge of AI with the relentlessly excellent IP expertise we bring to our clients in this industry and beyond. We understand how AI works from first principles and are able to advise on inventions at the cutting edge of model architecture design, training algorithms, optimisation techniques, and interpretability methods.

Because this type of AI technologies often face heightened scrutiny on patent eligibility, especially under UK and European practice, we are adept at uncovering all patentable aspects, by identifying technical contributions and navigating patentability exclusions. We know how important it is for our clients to be able to, where possible, protect the underlying models and mechanisms that drive AI innovation—not just their applications.

Our team actively maintains up-to-date technical knowledge of foundational level innovation in AI across a range of domains, including natural language processing (NLP), unstructured data processing, classification and regression tasks, semantic image and video analysis, and generative AI. We have hands-on experience drafting and prosecuting patent applications that engage deeply with aspects of model architecture and novel training algorithms and optimisation techniques, including but not limited to architectures and training methods specifically designed for multimodal data, sparse data, computational efficiency optimisation, etc., as well as model interpretability methods. This depth of technical understanding allows us to engage meaningfully with the underlying technical innovations and frame them strategically to maximise the value of your IP, including patent protection and beyond.

Additionally, we understand the ins and outs of the AI ecosystem, including competitors, collaborators, customers and user interactions, and internal stakeholders dynamics. We are used to advising our clients in leveraging their IP to navigate this, including e.g. dealing with data and associated IP, designing a software licensing strategy, combining open source and proprietary tools, etc.

Finally, we build on multidisciplinary strength across chemistry, life sciences, and engineering. This means we’re skilled at envisioning and capturing a broad range of potential variants, use cases and reconfigurations of your core technology in order to secure commercially focussed, future-proof IP. With global reach and active engagement in the AI community, we help clients stay ahead of legal, technical, and market developments.

Our team

Camille Terfve circle-1

Camille Terfve, Partner

Camille has particular expertise in data driven approaches in pharma, biotech and healthcare. She has a wealth of experience dealing with the use of AI for medical and biological data analysis, from protein language models to multimodal learning on health data. She advises clients of all size on patentability, IP strategy, opposition, drafting and prosecution in this specific field, often acting as the resident expert on the topic for her larger clients. Having been working in this field for 10+ years, she has deep experience of EPO practice in this regard, and a network of trusted attorneys worldwide who can handle this work. She is passionate about maths and data, and her alternate reality self would work as an AI researcher for one of her clients. 

Alessio

Alessio Incitti, Associate

Alessio maintains state-of-the-art knowledge in high-growth areas of applied artificial intelligence, including robotics, natural language processing, network security, embedded systems, and AI agents. He also has an in-depth expertise in custom hardware, such as programmable logic devices (e.g. FPGAs), and other high-performance hardware for optimised neural network implementations.

Alessio has an MEng in Computing from Imperial College London. In addition to solid computer engineering foundations, he gained exposure and practical experience in various areas of knowledge representation, AI planning, machine learning, and high-performance computing. His final year research project investigated optimisation techniques for radiation therapy simulation on FPGA for use in adaptive radiotherapy. Additionally, Alessio worked as a software developer at a cyber security company specialising in military-grade encryption solutions for everyday mobile devices.

Amelia Sloan circle-1

Amelia Sloan, Technical Assistant

Amelia is a technical assistant in our AI team with particular expertise in the application of AI to digital security and quantum technologies. She has an MSci in mathematics from Imperial College London, and has experience prosecuting AI patents in relation to med-tech. While personally specialising in topology, her degree covers a wide range of subject areas, with knowledge in machine learning and number theory being especially useful in relation to cryptography and digital security. 

Simon Eismann

Simon Eisenmann, Patent Technical Assistant

Simon has extensive experience in robotics, AI, and autonomous systems, covering both research and applied development. Before joining Mewburn Ellis, he worked as an AI Software Engineer at a startup developing autonomous driving solutions for commercial vehicles in industries like agriculture, mining, and logistics. Part of his work focused on developing, optimizing, and deploying deep learning models using Python (including PyTorch and related libraries) and C++. Additionally, he worked with the Robot Operating System (ROS2). Previously, Simon gained industrial automation experience as a working student at a large, international company. With this multidisciplinary background, he offers a broad and practical perspective on the evolving applications of artificial intelligence across various sectors.

Read our blogs

Emotions running high - the patentability of AI considered at the UK Supreme Court

Emotions running high - the patentability of AI considered at the UK Supreme Court

by Kara Quast

On 21st and 22nd July 2025 the UK Supreme Court heard the much-anticipated case Emotional Perception AI Limited (Appellant) v Comptroller General of Patents (Respondent), which is the first time the ...

Show me the money (and the explanation): eXplainable AI in finance

Show me the money (and the explanation): eXplainable AI in finance

by Alessio Incitti

The AI assurance market in the UK is experiencing rapid growth, with an estimated 524 firms generating £1.01 billion in Gross Value Added (GVA) according to market research published in the UK ...

King’s Speech: AI implications for IP

King’s Speech: AI implications for IP

by Emma Graham

Featuring in The Patent Lawyer Magazine, Emma Graham explores what the King's Speech said about AI, what is happening elsewhere in the world, and what we can expect in the UK.

An emotional day - The Court of Appeal reverses the High Court’s earlier judgment

An emotional day - The Court of Appeal reverses the High Court’s earlier judgment

by Alex Burns

Today, the Court of Appeal handed down its hotly-anticipated judgment in the Emotional Perception AI case, the first case heard at this level on the patentability of AI-based inventions ...

Living with artificial intelligence: can the law cope?

Living with artificial intelligence: can the law cope?

by Emma Kennaugh-Gallacher

As part of our Thought Leaders series, we explore the copyright issues arising from AI-generated content and the status in patent law of AI-generated inventions.

English Courts consider the patentability of AI

English Courts consider the patentability of AI

by Alex Burns

My colleague, Rebecca Frith and I viewed the Court of Appeal hearing in the Emotional Perception AI case on Tuesday and Wednesday this week. It is the first time that the patentability of AI has been ...

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FORWARD MAGAZINE

Mewburn Ellis Forward is a biannual publication that celebrates the best of innovation and exploration. Through its pages we hope to inform and entertain, but also to encourage discussion about the most compelling developments taking place in the scientific and entrepreneurial world. Along the way, we’ll engage with the IP challenges that international organisations face every day.

 

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