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Questions to ask AI tool providers

12Feb

Do you want to use an AI tool to speed-up a part of your IP work? Perhaps a tool that automates sequence listings or that automates the docketing of deadlines would be a huge time-saver? Or maybe a tool that can help you to identify case law when preparing oppositions? Are your clients asking you to use tools for patent drafting or prosecution work in an effort to reduce costs? How do you know which tool is good for mechanical inventions and which is good for chemical work?

In the second webinar in a series by CIPA’s AI Committee, you will be introduced to some common questions to ask AI tool providers when deciding whether to test, trial or deploy an AI tool in your business. The goal is to arm you with some questions you can ask and checklists you can utilise when engaging with AI tool providers, so that you can ascertain, for example, whether a tool will be useful and suitable for your clients, your area of IP, and your technical specialism, and whether it fulfils requirements around confidentiality. There are lots of tools out there, which are constantly evolving, and you do not have time to trial them all! The costs of the tools may also factor in your decision-making. This webinar will help you to determine how to sort through the AI tool offerings and find those that seem most appropriate for you to test and potentially even deploy.

No knowledge of AI is required! This webinar is suitable for anyone who is responsible for working out whether to utilise AI tools in their organisations.

The webinar will feature a range of perspectives, including in-house and private practice.

Audience

All

Speakers

Nathan Turnbull, Arm

Nathan Turnbull, Arm

Nathan is a Senior Patent Attorney at Arm, where he looks after the machine learning and software patent portfolios and more broadly covers matters at the intersection of AI and intellectual property. His work involves protecting AI-enabled technologies while engaging with emerging legal and policy questions around AI. Nathan has a particular interest in how AI can be applied to drive efficiency within patent practice and has led initiatives to develop and adopt AI tools for in-house use.

Lee-Ann Galway, Appleyard Lees

Lee-Ann Galway, Appleyard Lees

Lee-Ann is the Technology & Change Director at Appleyard Lees, where she leads the firm’s IT, data, and change teams. She has over 20 years in the legal sector and has been closely involved in major transformation projects, including moving the firm’s systems to the cloud and supporting the introduction of the Unitary Patent. Lee-Ann is passionate about how technology can make work smarter and improve client experiences, with a particular interest in data, integration, and building a collaborative, forward-thinking culture.

Philip Lenden, Simplify IP

Philip Lenden, Simplify IP

Phil founded his solo practice, Simplify IP, in 2022. He has worked as a patent attorney for over 10 years, both in small and large private practice firms, and in house for a global sustainable technology company. He has a chemistry specialism, and has practiced in areas including battery materials, renewable energy sources, OLEDs, food compositions, cleaning products, and small molecule pharmaceuticals and formulations.

He founded Simplify IP to focus on providing clear, understandable, and commercially relevant IP advice relating to both mature and emerging technologies, making full advantage of his experience of working in different areas of patent practice, and using the flexibility afforded by going solo to provide a tailored service for all shapes and sizes of client.

Phil is passionate about diversity and inclusion within intellectual property, especially neurodiversity, gender inequalities, and socioeconomic barriers to entry to the patent profession.

Parminder Lally, Vice Chair of CIPA’s AI Committee & Partner at Appleyard Lees

Parminder Lally, Vice Chair of CIPA’s AI Committee & Partner at Appleyard Lees

Parminder is a patent attorney and Partner at Appleyard Lees.  She primarily handles physics-based technologies and computer-implemented inventions (CIIs), and she is well-known for her specialism in Artificial Intelligence (AI) and deep tech. Her work in the AI space includes patenting AI and machine learning used for image analysis and object classification, human-computer interactions, text-to-speech systems, 5G networks, and synthetic dataset generation, as well as novel generative AI models, federated learning, and the use of AI to control processes or machines.

Adeline Fleming, Mastercard

Adeline Fleming, Mastercard

Adeline-Fleur Fleming is a Senior Managing Counsel at Mastercard heading the IP team in Europe and a member of the Mastercard European Legal Leadership team. As part of her practice, Adeline handles a mixture of patent, trademark, litigation, M&A and soft IP matters. Prior to joining the Mastercard group, Adeline was a Senior Patent Attorney at Arm. Adeline qualified as a European Patent Attorney at Page, White and Farrer a specialist Patent and Trademark law firm based in London, she has a Master’s Degree in Engineering Science from the University of Oxford.

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