A case run by Garfield AI
After some high-profile AI embarrassments in the legal sector, this case offers an example of AI being used successfully and is being hailed as a “landmark” outcome.
Background
Tamires Camal Taquidir (the ‘Claimant‘), a freelance human resources executive, was in dispute with a hospitality firm over unpaid debts. The dispute arose over an oral agreement which had been reached between the parties in a bar in London some years earlier. Both parties offered differing accounts of what had been agreed that night.
The Claimant decided to pursue the hospitality firm over these unpaid fees and chose to do this using Garfield AI.
Garfield AI
Garfield AI became the first AI-powered legal service provider to be authorised and regulated by the Solicitors Regulation Authority in May 2025.
Technology is anything that wasn’t around when you were born.” Alan Kay
Garfield AI’s platform is able to draft legal documents, file claim forms and even write up defences for court, amongst other things, all without the involvement of any human lawyers.
The firm handles claims worth from £30 up to a maximum of £10,000. Prices for drafting pre-action letters start from as little as £2 each, with claims forms completed for around £50, which is only a very small percentage of the fees which would be incurred by hiring an actual solicitor from a traditional firm.
In this case, Garfield AI handled all of the work pre-trial for the Claimant, starting with producing the pre-action correspondence, issuing the court proceedings, producing the documents for court, drafting the witness statements for seven separate witnesses and preparing the trial bundles.
The Court Case
The case was heard in a three-hour long trial at Wandsworth County Court. At this point, the case was handed back to humans, and the Claimant was represented in court by a barrister. The defendant firm used a high-street law firm based in Manchester to prepare for the trial, as well as a barrister in court.
The Claimant won the case, successfully defeating a counterclaim advanced by the defendants and recovering the full sum claimed of £7,000. The Claimant’s barrister also noted that all of the documentation prepared by Garfield AI had been fit for purpose, though noted that advocacy in the court room remained a “fundamentally human exercise.
Any sufficiently advanced technology is indistinguishable from magic.” Arthur C. Clarke
Conclusion
The chief executive of Garfield AI, Philip Young, himself a former litigator, called this victory a “landmark moment” allowing an individual to successfully bring a claim all the way to trial and win. Often individuals and businesses have been unable to pursue small claims such as these because the cost, time and stress of litigation rendered them prohibitive and uneconomic. Now, instead of having to write off such debts, AI can offer a solution, and this case demonstrates how AI driven legal services can help “real people recover real money through the courts”.
Whilst AI did not replace the human roles performed by the judge or the barristers, it fulfilled its purpose by making the whole process more accessible, efficient and affordable for those seeking justice for small claims.
Presently, Garfield AI has had more than 600 claims in progress on its platform and claims to have recovered over £500,000 for its users.
The future
This case has been widely reported in the press as being a milestone for the use of AI in litigation, particularly for widening the access to justice for those who may not previously have had the means to pursue such claims. With nearly all law firms investing heavily in AI technologies, it is certainly positive news to hear of a case where AI has been used so effectively.
However, it is still early days for AI within the legal sector and the speed at which these new technologies are being adopted is a cause for concern, as the legal system and regulators strive to keep pace with these rapid developments.
It is also clear that any lawyer who chooses to use AI will always remain responsible for the consequences of doing so, even when it goes wrong or is used incorrectly, as seen in the recent high-profile case of Cork v Smith. Ultimate responsibility cannot be outsourced to AI.
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