A hands-on workshop exploring which AI innovations can be patented, which are best kept as trade secrets, and how to make smarter decisions about protecting your work.
AI is advancing at an extraordinary pace, transforming sectors from telecoms and automation to personalised medicine and computer science itself. But with such rapid change, it can be easy to deprioritise the question of how or whether to protect the innovations your business is developing. There are a lot of myths around AI and intellectual property, and the landscape is more nuanced than you might expect.
This Byte Size event is a hands-on workshop designed for innovators, entrepreneurs, and anyone involved in developing or commercialising AI-based innovations. We'll cut through the confusion and explore which AI inventions can and should be patented, and which are better kept as trade secrets or know-how. Using real examples worked through together, we'll walk you through the pros and cons of investing in IP protection so you can make more informed decisions for your business.
There will be plenty of time to ask questions during the workshop and to connect with fellow attendees during networking afterwards.
Why attend?
Gain a clear understanding of when patents and trade secrets can be used to protect software and AI inventions, and when they can't. We'll separate fact from fiction in the world of intellectual property, and we’ll give you practical guidance on how to assess your own inventions and when it's time to bring in specialist legal advice.
Who should attend?
This workshop is open to anyone working in or around AI innovation, regardless of industry. Whether you're a software developer experimenting with new ideas, an R&D manager or C-suite leader commercialising AI innovations, or an IP manager looking to sharpen your strategy, this event will be relevant to you.



Senior Assurance Engineer, Cambridge Consultants
Senior Assurance Engineer, Cambridge Consultants
Darendra is part of the Systems Engineering & Test department, where he applies his expertise in Digital Security Testing to various technologies, including Machine Learning and AI. He has a background in Software Test Automation of wireless communications protocols, such as satellite communications and LTE. He enjoys defining and developing testing strategies for cybersecurity challenges and ensuring the quality and reliability of innovative solutions.
Founder, Mandrel Systems
Founder, Mandrel Systems
Phil Claridge is a ‘virtual CTO’ for hire within Mandrel Systems covering end-to-end systems. Currently having fun and helping others with large-scale AI systems integration, country-wide large scale big-data processing, hands-on IoT technology (from sensor hardware design, through LoRa integration to back end systems), and advanced city information modelling. Supporting companies with M&A ‘exit readiness’, due-diligence and on advisory boards. Past roles include: CTO, Chief Architect, Labs Director, and Technical Evangelist for Geneva/Convergys (telco), Arieso/Viavi (geolocation), and Madge (networking). Phil’s early career was in electronics, and still finds it irresistible to swap from Powerpoint to a soldering iron and a compiler to produce proof-of-concepts when required.
Partner, Appleyard Lees IP LLP
Partner, Appleyard Lees IP LLP
Parminder is a patent attorney based in Appleyard Lees’ Cambridge office, and helps companies to protect their technological innovations. She has built a substantial reputation working with high-growth start-ups, spin-outs and SMEs in Cambridge, and has in-house experience. She specialises in writing and prosecuting patent applications for computer-implemented inventions. Her work includes patenting AI-based technologies, including new machine learning frameworks and applications of machine learning in image classification, human-computer interactions and text-to-speech. Parminder also writes her own AI blog on LinkedIn, and is a member of the Chartered Institute of Patent Attorneys’ Computer Technology Committee.
Independent Consultant
Independent Consultant
Simon leads a team that develops AI and ML solutions for large financial institutions. Before joining GFT he was the Principal Investigator for BT’s AI program. Before that he was the Head of Practice for Big Data and Customer Experience at BT and BT’s lead for collaborations with MIT, and the first industry fellow at the Alan Turing Institute. Simon is interested in practical application of AI technology and the practice and process of AI and ML projects. His book “Managing Machine Learning Projects” was published by Manning Books in 2023.
Programme Manager, UKTIN, Founder, Vision Formers
Programme Manager, UKTIN, Founder, Vision Formers
Peter is Founder & CEO of Vision Formers, the specialist consultancy that supports and mentors leaders of visionary technology businesses get product to market and turn ideas into reality. Vision Formers works with start-ups and scale-ups, providing significant expertise in accelerating business growth through a focus on developing a robust product strategy, growing and coaching product and development teams, and providing operational excellence. Peter has a long track record of conceiving, developing and marketing successful technology-based solutions, deployed at scale, globally. Innovative products Peter has brought to market in digital, cloud, AI, consumer electronics and telecommunications have been used by countless millions of people on a daily basis globally, badged by the world’s leading digital and technology brands. Peter also works with Digital Catapult as Programme Manager for UKTIN, working with partners and stakeholders to deliver UKTIN’s mission to transform the UK telecoms innovation ecosystem, capitalising on the country’s strengths in technology, academia, and entrepreneurialism, while positioning it for growth as new opportunities emerge in the industry. Peter is a board member of CW (Cambridge Wireless), a Fellow of the IET, a Chartered Engineer, and a member of the Association of Business Mentors.

Head of IP, Paragraf
Anne McAleer is Head of Intellectual Property at Paragraf, where she leads IP strategy for cutting-edge innovations spanning advanced materials and semiconductor technologies. She works closely with R&D and engineering teams to translate complex technical developments into practical IP strategies, helping businesses decide when to patent, when to rely on trade secrets, and how to invest wisely in protecting their work.
Patent Attorney, Appleyard Lees
Debora Dorn is a Patent Attorney with a background in physics, mathematics and machine learning. She has a particular interest in protecting AI-based technologies and has worked on a wide range of AI-related inventions. Her strong technical foundation makes her well placed to help attendees understand how their own innovations might be protected.

Partner, Appleyard Lees IP LLP
Julia Gwilt is a Partner and has over twenty-five years' experience in the patent profession. With a background in mathematics and computer science, Julia specialises in software-implemented inventions including AI and machine learning. She also has a strong track record in training and education within the patent profession and brings that same clarity and accessibility to client-facing work.
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