Quora · Ivo
2 days — NDA approval turnaround time
Vendor-reportedTechnology & software · Legal review · NLP · In production
Legal review
DoNotPay · IBM, Facebook
Independently reportedProfessional servicesUnited KingdomScaledNLP
Independently reported. An independent or peer-reviewed source reports this result, alongside the vendor.
Reported by bestpractice.ai (independent reporting). Checked against the source page on 2026-09-06. 1 of 3 figures below appear on that page word for word; the rest are marked.
The problem
Automating the appeal of parking tickets and providing legal advice.
What was deployed
- Vendor
- IBM, Facebook
- Products
- IBM Watson, Facebook Messenger
- Technique
- NLP
- Build or buy
- Bought and customised
- Deployment
- API
- Data used
- user inputs (choice of defence from a list of 12 options)
- Scale
- more than 86,000 people have used it
What changed
Each row is quoted from the source. Figures we could not find on the page in those words are marked — they are kept, not deleted, so you can judge them.
£2 millionValue of parking tickets appealed
“Page title: 'DoNotPay has succesfully appealed £2 million in parking tickets...' (not restated in body text)”
Not found on the source page in these words
40%Claim success rate
“Nearly 40 per cent of them were successful, according to a poll of the site's users.”
Not found on the source page in these words
more than 86,000Number of usersin its first four months
“more than 86,000 people have used it to appeal against council parking fines.”
Quoted word for word from the source
Difficulties and limits
- Can be prone to 'communication breakdown' when a user gives responses that have not been planned for or are not recognised, often due to a limitation of the NLP program, which then tends to stop the flow of the process — described as the major challenge faced by all bots in the legal space or elsewhere.
Sources
- bestpractice.ai — independent reporting
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