Matt Hervey Partner Head of Artificial Intelligence (UK)

Speaks:  English

Qualified: 2007 - Solicitor of England & Wales

Primary office:  London

Matt Hervey

Matt Hervey is Head of Artificial Intelligence (UK) and advises on Artificial Intelligence (AI) across all sectors, including automotive, life sciences, finance and retail. He is co-editor of The Law of Artificial Intelligence (by Sweet & Maxwell). Matt is in AI-related working groups for the International Chamber of Commerce (ICC), the IP Federation, the International Association for the Protection of Intellectual Property (AIPPI) and the World Law Group.

Matt is a trusted intellectual property adviser, especially for clients with complex patent disputes, including SEP (FRAND) litigation. He is described as "stand out" and "absolutely superb" for patent disputes (Legal 500).

His cases have involved video compression, telecommunications (2G, 3G, LTE, DSL and others standards), aircraft design, software (algorithmic trading, consumer share trading platforms, 3D modelling), consumer electronics (inkjet printers), location sensing and traffic analysis. He has extensive experience of healthcare and Life Sciences work including monoclonal antibodies, biosimilars, toxins, medical devices and cosmetics. Matt has handled product clearances and disputes involving copyright, trade marks, designs and confidential information for clients in the aerospace, retail, fashion, automotive and financial services sectors.

Matt managed the litigation team that successfully defended three patents of the Kennedy Trust for Rheumatology Research in the first 'biosimilar' patent litigation in the UK. He managed one of the cases for Fujifilm Kyowa Kirin Biologics Co., Ltd leading to the first granted "Arrow" declaration in the UK. He also has experience of high-value arbitration.

Follow Matt Hervey on Twitter @matthervey

Matt Hervey

Matt Hervey

UK House of Lords warns against complacency towards AI, focussing on ethical AI, safeguards against data misuse, support for jobs, training for sector-specific regulators, an AI champion for in public service and immigration rules to attract specialists. Matt Hervey (@matthervey) Jan 20,2021

Matt Hervey

Matt Hervey

UK competition authority publishes research on harm by algorithm Matt Hervey (@matthervey) Jan 19,2021

Career & Recognition

Filter timeline:
  • 2020

    • Career
      May 2020
      Gowling WLG (UK), partner
  • 2019

    • Rankings & Awards
      September 2019
      Legal 500 2019 Rising Stars - Intellectual Property
  • 2017

    • Rankings & Awards
      Rising Star, Expert Guides
  • 2016

    • Career
      July 2016
      Gowling WLG (UK) LLP, director
    • Career
      Gowling WLG (UK) LLP, principal associate
    • Rankings & Awards
      Rising Star, Expert Guides
  • 2015

    • Rankings & Awards
      Rising Star, Expert Guides
  • 2014

    • Career
      Wragge Lawrence Graham & Co, associate
  • 2007

    • Qualifications (Year of Call/Admission, etc.)
      Qualified, Solicitor of England & Wales
    • Career
      Wragge & Co LLP, associate
  • 2005

    • Career
      Bird & Bird
  • 2004

    • Education
      City University, London
    • Education
      College of Law, London
  • 1996

    • Education
      Courtauld Institute
  • 1993

    • Education
      University of Oxford

Selected publications, talks, panel discussions and media

  • The Law of Artificial Intelligence, Sweet & Maxwell, 2020
  • DABUS and unanswered questions about inventive AI, World Intellectual Property Review, 2020
  • Deep data dive: the future of rights in data, Intellectually Property Magazine, 2020
  • Artificial Intelligence - Law and Ethics, Royal Aeronautical Society, London 2020
  • Artificial Intelligence - Contractual Issues, Gowling WLG, London 2020
  • The Law Commission's second consultation on autonomous vehicles, Lexis PSL, 2020
  • Artificial Intelligence and Intellectual Property, World Law Group, 2020
  • Harnessing AI in drug discovery without losing patent protection, Drug Discovery Today, 2020
  • Artificial Intelligence in Life Sciences, Gowling WLG, London 2019
  • AI, Machine Learning & Big Data, UK chapter, Global Legal Insights, 2019
  • Debating the future application and protection of AI and Big data, Managing Intellectual Property, New York 2019
  • IP challenges in the era of connectivity: autonomous driving and disruptive technologies, Managing Intellectual Property, New York 2019
  • Debating the future application and protection of AI and Big data, Managing Intellectual Property, Silicon Valley 2019
  • AI's impact and challenge for you and your clients, ITechLaw European Conference, Dublin 2019
  • The real concerns for innovators: More data = more claims?, CDR Life Sciences Litigation Symposium, London 2019
  • New Automotive Technology, Automechanika, Birmingham 2019
  • Artificial Intelligence and IoT, Managing Intellectual Property, London 2019
  • Brexit and New Technology, Society of Motor Manufacturers and Traders, London 2019
  • Automotive IP, Managing Intellectual Property, Webinar 2019
  • The Doctrine of Equivalents, Managing Intellectual Property, New York 2018
  • Connected and Autonomous Vehicles, Managing Intellectual Property, Palo Alto 2018
  • Licensing connected vehicles, Managing Intellectual Property, Palo Alto 2018
  • Interview on parasitic copying, The One Show, BBC1, 2018
  • Automotive Innovation, Automechanika, Birmingham 2018
  • Artificial Intelligence and the Insurance Industry, Insurance Tomorrow by Allianz, 2018
  • Autonomous Vehicles and the Insurance Industry, Insurance Tomorrow by Allianz, 2018
  • Tech Patents in the Automotive Industry, Managing Intellectual Property, London 2018
  • SEP and FRAND Update, Managing Intellectual Property, New York and Palo Alto 2017
  • Automotive patent wars on the horizon, Automotive World, 2017
  • Artificial Intelligence, Gowling WLG, Birmingham, London and Paris 2017
  • Disruption and Liability, Futurism, Tallinn 2017
  • Blockchain and Artificial Intelligence, Gowling WLG, Birmingham and London 2017
  • The Future of Mobility, Arup and Roads Australia, London 2017
  • Thoroughly modern marks, ITMA Review, 2016
  • The Connected Car, Automechanika, Birmingham 2016
  • Threats reforms, Gowling WLG, Birmingham and London 2014
  • An IP owner's guide to 3D printing, WIPR, 2015
  • Shops must allay Big Brother fears, Estates Gazette, 2015
  • Patent and Trade Mark Attorney Privilege, Gowling WLG, London 2014
  • IP for Start-ups, Google Campus, London 2014
  • 3D Printing, Gowling WLG, Birmingham and London 2014
  • 3D Printing, London Design Festival, V&A London 2014
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Representative Work

Selected contentious work

  • TQ Delta, LLC v Zyxel Communications UK Ltd
  • Fujifilm Kyowa Kirin Biologics Co., Ltd v AbbVie Biotechnology Limited and another
  • Resolution Chemicals Limited v H. Lundbeck A/S
  • Hospira UK Limited v The Kennedy Trust for Rheumatology Research
  • H. Lundbeck A/S v TDP Healthcare Logistic Limited
  • Kohler Mira Limited v AKW Medi-Care Limited
  • Nokia GMBH v IPCom GmbH KG
  • Koninklijke Philips Electronics NV and others v Alba Plc and Amino Communications Limited
  • Seiko Epson Corporation v Dynamic Cassette International Limited
  • Seiko Epson Corporation v Medea International Limited and others
  • Unilin Beheer BV and another v Spanolux SA
  • Confidential arbitrations concerning telecoms and aircraft design
  • Disputes without proceedings regarding inventions or trade secrets covering 3D rendering, aircraft design, algorithmic trading, construction, consumer products, cosmetics, food supplements, logistics, medical devices, telecommunications, textiles, traffic sensing, and video compression.

Selected non-contentious work

  • IP aspects of AI-enabled toys
  • Licensing of an AI-based clinical trial model
  • IP, data protection and procurement aspects of an AI-based educational and assessment platform
  • IP, DRM and contractual aspects of an AI-based data collection platform
  • IP aspects of algorithmic sound processing product and service
  • IP aspects of an algorithmic trading system
  • IP aspects of an AI-based share trading platform
  • IP aspects of a blockchain-based tradeable property asset