FinLegal

FinLegal is a legal technology company that develops software to automate and manage high-volume legal claims. The company was founded in 2019 by Steven Shinn, an IT specialist who saw the potential for automation to improve the efficiency of mass litigation after following the Post Office group action in the news. He serves as the company's CEO.

The Sheffield-based company's core product is a cloud-based platform that helps law firms manage large-scale litigation, including class actions, mass torts, and personal injury claims. The platform is designed to increase client conversion, reduce manual document review, and streamline administrative tasks. It uses AI-powered agentic architecture to automate processes like drafting demand letters, summarizing medical records, and reviewing evidence. This system involves a supervisor AI agent that assigns tasks to specialized sub-agents, with a human lawyer always performing the final review to ensure accuracy. FinLegal states that its technology, built on Amazon Web Services (AWS), can enable legal teams to handle significantly more claims without increasing headcount.

FinLegal operates on a SaaS model, serving law firms in the U.K., U.S., Europe, and Australia. Notable clients include leading mass claims firms like Leigh Day in the U.K. and Maurice Blackburn in Australia. The company's revenue model is based on recurring software fees, and it reported an annual recurring revenue of £1.8m for the year ending April 2024. FinLegal has raised a total of £5m in funding, including a £1.5m investment from NPIF II – Mercia Equity Finance to accelerate international growth.

Keywords: legal automation, claim management software, LegalTech, AI in law, mass tort litigation, class action software, case management automation, client onboarding legal, document automation, AI medical summaries, agentic AI, personal injury claims, legal administration, SaaS for law firms, evidence review automation, automated correspondence, claimant management, volume legal claims, law firm efficiency, litigation technology