Sajid is the CEO and the lead architect of digital strategies. He has spent 15 years in the medical negligence claims market and has developed a 360-degree view of the claims process.

Sajid is a University of Oxford certified Blockchain and Fintech strategist. His businesses have been awarded ‘Claims Innovation Awards’, ‘Claims Management Company Of The Year’ and an ‘Interactive Media Award’.

Sajid’s experience includes generating and qualifying over 60,000 enquiries for 40 law firms, worked with Allianz to develop a leading after the event insurance scheme and launched the first fixed fee ready cloud-based clinical negligence case management system.

Professor Dominic Regan of City University, London. Professor Regan has been working with Sajid on the strategy and development of the court-compliant smart billing protocols and legal cost management functions.

Professor Dominic Regan is one of the UK’s foremost speakers on costs and dispute resolution and is a special adviser to the Association of Costs Lawyers.

Dominic has advised Lord Justice Jackson on costs budgeting and management. He has worked closely with HH Judge Simon Brown QC who pioneered active case/costs management.

One of his recent projects entailed advising a magic circle firm on costs arguments in the largest construction dispute in English legal history.

The lawyers’ lawyer, Dominic provides advice to several Government departments including the Ministry of Defence and HM Revenue and Customs.

“The greatest living authority on Part 36. Awesome”. HH Judge Michael Cook.

Daniel Clifford oversees compliance for the network of consultant lawyers and law firms. In his previous role, Daniel worked his way up to a plateau partner at a top 100 law firm. Where he launched a clinical negligence department and developed a team that successfully acted in many complex multi-million pound claims over a 25 year period.

Daniel is a litigator but has taken the experience gained from his working life to assist clients in finding imaginative solutions to often difficult challenges. This has allowed Daniel Clifford to be successful in acting on many significant cases, including in the Court of Appeal, Supreme Court and European Court of Human Rights.

Harman’s experience helps provides participants and stakeholders of our ecosystem with innovative ways to investigate claims and outsource risk.

Harman is head of our Investigation Services Division and is a system/workflow developer. Harman has extensive experience in digitalising the whole of the medical negligence claims investigation process.

Over the last 7 years, she has assisted in managing hundreds of preliminary investigation services for 27 law firms and their clients and has built a network of medico-legal experts, agencies, consultants, doctors, and nurses, which she is introducing to our ecosystem.

Dr Kirwan is an early adopter our ecosystem. As a senior consultant, he is involved in assisting with medical investigations and our connected care projects. Dr Kirwan trained at the national firm, Irwin Mitchell, and has built on his experience and knowledge over the past 10 years acting only for the Claimant. Prior to him becoming a Solicitor, Dr Kirwan obtained a PhD in Medical Microbiology at the University of Leeds and has worked as a Post Doctoral Fellow in Cancer Research where he was involved in the identification of novel targets in order to design improved therapeutical compounds.

Dr Kirwan’s technical knowledge and dual qualification have also helped him to obtain a Law Society accreditation in the past.

Kalapi is responsible for oversees M&A opportunities in our ecosystem.

His prior achievements include a successful turnaround of DNB’s Global Emerging Markets portfolio resulting in the fund size growing from US$100mn in 2010 to US$400mn+ by 2015.

He is a graduate of the University of Hertfordshire, with an MSc in Artificial Intelligence and Machine Learning. He brings extensive experience in software, IoT and mobile app development.

Fahad joined the project in 2018, to continue the development of our AI/ Machine Learning Strategy which seeks to learn from the aggregated and anonymised data captured from patient experiences and the claims process. claims process.