Weightmans law firm launches Insurtech AI-driven predictive analytics tool for insurers

Weightmans law firm launches Insurtech AI-driven predictive analytics tool for insurers

National law firm, Weightmans LLP, has unveiled its latest innovation in predictive analytics – PREDiCT Volume – a powerful data-driven solution designed to improve reserve accuracy, cut claims lifecycles and reduce indemnity spend in low-value personal injury claims.

PREDiCT Volume marks the next evolution in Weightmans’ analytics suite, following the firm’s proven success with its flagship PREDiCT Large Loss tool, which delivered £101 million in savings for insurers last year.

Targeted at claims across Motor, Employer’s Liability and Public Liability valued up to £50,000, early pilot results show that PREDiCT Volume delivers clear financial and operational benefits. Compared to handler-approved reserves, which exceeded final settlement costs by nearly 59%, the tool’s projections were just 8.6% above the actual paid amounts, helping to reduce capital lock-up by an estimated £18.7 million. Claims handled with the tool were resolved 14% faster on average, cutting delays and legal costs, while projected savings on indemnity spend reached £3.82 million across the pilot portfolio.

Will Quinn, partner at Weightmans and lead on the PREDiCT project, said: “With PREDiCT, we’ve already shown how augmented intelligence can unlock exceptional value in large-loss claims. PREDiCT Volume now brings that same transformation to lower-value, high-volume cases – a space where consistency, speed and accuracy are critical.

“This isn’t just about technology for its own sake, it’s about helping insurers make better decisions that ultimately lead to better outcomes. The pilot data speaks volumes, and we’re confident PREDiCT Volume will set a new standard in claims analytics.”

Developed in-house by the national law firm’s data science team, PREDiCT Large Loss was introduced to the market in July 2021. Analysis of settlement outcomes, calculated from a portfolio of more than 140 complex claims settled between July 2021 and December 2024, demonstrated significant improvements in reserving accuracy, reduced the median lifecycle of claims by 7% overall, and lowered overall indemnity spend.

The latest model update, PREDiCT 2.1, which incorporates over 12 months of additional settlement data and updated claims inflation information, went live in May 2025. Testing of the updated tool has demonstrated yet further improvements.