Ben Maling

Partner, UK and European Patent Attorney
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伦敦
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bmaling@eip.com
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个人简介

Ben specialises in all aspects of IP in software and data, with a particular focus on AI. He is regularly sought out by colleagues and clients for his expertise in this area, and has previously run weekly training sessions on deep learning for patent attorneys and solicitors at EIP.

As a driving force behind EIP’s Codiphy service, Ben helps businesses navigate the unique challenges and opportunities in the digital space. He understands the conflict felt by decision makers wishing to protect their revenue streams and investment, whilst also promoting collaboration to accelerate development, raise their company's profile, and attract top talent. He believes in a holistic approach to IP strategy: patents are a powerful tool, to be deployed in combination with a proper grip on trade secrets, open source, and IP-focused commercial agreements.

Clients stick with Ben for his ability to engage on a deep technical level, and to deliver advice like a human.

Recent Work
Publications
教育背景
  • Certificate in Intellectual Property Litigation (2024)
  • Postgraduate Certificate in Intellectual Property Law - Queen Mary University of London (2017 — 2018)
  • PhD Applied Mathematics - Imperial College London (2013 — 2016)
  • MSc Applied Mathematics - Imperial College London (2012 — 2013)
  • BA Physics - University of Oxford (2005 — 2008)
Languages Spoken
职业经历
  • Partner at EIP (2025 — present)
  • Managing Associate at EIP (2023 — 2025)
  • Senior Associate at EIP (2021 — 2023)
  • Associate at EIP (2016 — 2021)
  • Physics & Maths Teacher / Head of Physics & Maths at Westminster Tutors, London (2008 — 2012)
  • Physics & Maths Tutor at Graveney School, London (2009 — 2011)
专业领域
  • Digital: AI, Applied maths & cryptography, Computer hardware, Digital health, Gaming and graphics, Image and signal processing, Medical imaging, Software, Telecommunications
  • HealthTech: Digital health, Medical imaging, Personalised healthcare

The latest from

Ben Maling

Sustainable models: content licensing for generative AI training
21 November 2025
It is fair to say that no technology in recent times has created so much excitement and controversy as generative AI, and in particular Large Language Models (LLMs). Generative AI companies and their backers have their sights on generating billions, if not trillions of dollars, directly or indirectly from their models. Models which, in the vast majority of cases, are trained on original works without permission from, or payment to, their authors. The works used for training are primarily obtained by scraping the open web, a uniquely vast repository of publicly accessible knowledge and information, constantly updated to reflect the latest developments in human knowledge and culture.

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