AI, Crypto & Technology

Fountain Court is home to leading barristers specialising in matters involving artificial intelligence (‘AI’), digital assets (including cryptoassets, cryptocurrencies and non-fungible tokens) and broader technology issues.

Artificial Intelligence

Fountain Court barristers have acted in some of the world’s leading cases in the emerging area of AI. Our work includes: acting in multi-billion dollar follow-on damages litigation where the claimants proposed to use AI tools to prove key parts their case; advising in one of the world’s first challenges to algorithmic decision-making under the GDPR, made by a group of drivers against Uber in the Amsterdam Courts; successfully defending the first AI company to be investigated by the Information Commissioner’s Office for algorithmic bias; and acting as counsel in an appeal heard by the UK Supreme Court concerning the patentability of inventions devised by AI.

Digital Assets

Our work here is a natural extension of our market-leading banking and finance practice and we are routinely involved in precedent-setting cases. This includes: acting in the ground-breaking B2C2 v Quoine appeal in the Singapore International Court of Appeal which dealt with questions of knowledge in automatic algorithmic trading of cryptocurrency; acting as a member of the board of experts advising Lord Currie in the first competition law case involving cryptocurrencies brought in the UK; and advising the joint liquidators of the collapsed FTX Digital Markets, the third-largest cryptocurrency exchange. We advise on the full range of existing legislation and regulation which may apply to digital assets.

Broader Technology

Our broader technology-related work includes: acting for VTB Capital in a high-profile dispute stemming from the €1 billion sale of a leading Bulgarian telecoms group; acting in competition proceedings against Google for abuse of dominant position; and representing CIS General Insurance (now Soteria Insurance) in a successful appeal to the Court of Appeal relating to a failed IT project.