LexisNexis adds data intelligence tools for UK motor claims
LexisNexis aimed its new Claims Datafill tool at the messiest part of U.K. motor claims: FNOL, where bad data drives delays, rework and misrouted files.

LexisNexis Risk Solutions launched Claims Datafill on June 24, 2026, and pitched it at the part of U.K. motor claims where bad files do the most damage: first notification of loss. The new data intelligence tools are meant to pull richer, validated information into the claim early, so handlers can triage faster, cut rework and keep cases moving toward settlement.
The first release is built around a single API integration and is aimed at insurers, MGAs and other claims ecosystem partners. Claims Datafill is a near-real-time prefill capability that can deliver data on parties, vehicles and coverages into a carrier’s claims workflow. Its first use cases focus on third-party contact details and validation of windscreen features at FNOL, two simple checks that can prevent a claim from stalling while staff chase missing information.
Incomplete or inaccurate FNOL data leads to delays, misrouted claims, rework and higher operating costs, which is where motor claims leakage starts: a wrong contact detail slows a recovery, a poor vehicle or coverage record sends the file to the wrong team, and a weak first pass pushes more cases into unnecessary referral queues.
Carla McDonald, director of product management, insurance, U.K. and Ireland, said, “the quality of decision-making in the first few minutes of a claim affects triage, indemnity spend, customer experience, and loss ratios.” McDonald joined LexisNexis Risk Solutions in 2018 and had previously worked on Vehicle Build data enrichment.
On July 22, 2025, the Financial Conduct Authority said rising motor insurance premiums were largely driven by external cost pressures, but claims-handling shortcomings still persist. The UK government’s Motor Insurance Taskforce, launched in October 2024, published its final report on December 10, 2025. If insurers can validate more data at FNOL, they can route claims better, spot suspicious cases earlier and shorten the path from notification to settlement.
This article was produced by Prism’s automated news system from verified source data, official records, and press releases, then run through automated quality and moderation checks before publishing. The system is built and supervised by the people who set the standards it runs under. Read our full AI policy.
Did this article answer your question?


