News

LexisNexis launches AI model for home insurance risk assessment

LexisNexis put a neural-network home risk model into underwriting workflow, saying its highest-scored properties are 20 times likelier to file claims.

Sam Ortega··2 min read
Published
Listen to this article0:00 min
Share this article:
LexisNexis launches AI model for home insurance risk assessment
AI-generated illustration

LexisNexis Risk Solutions pushed a new AI model into home insurance underwriting, betting that sharper location signals can outclass the blunt property scores carriers have leaned on for years. The company said Location Intelligence for Home went live on May 14, 2026, and that it is built to help U.S. home insurers assess risk at both new business and renewal.

The product uses advanced neural network modeling and is available through LexisNexis Smart Selection, the automated data service that already feeds underwriters inspection flags and configurable business rules. LexisNexis said the new home model combines industry-wide home claims data, location-based insights and historical loss patterns to generate property-level, peril-specific risk scores inside the workflow, instead of forcing teams to bounce between separate analytics screens and underwriting systems.

That workflow integration is the real play here. LexisNexis said the insights are embedded directly within carrier tools so underwriters can use them consistently when evaluating new and existing risks. The company framed the launch as a response to rising repair costs, more frequent catastrophic events and tighter pressure on underwriting accuracy, arguing that exterior condition checks and loss data alone no longer give carriers a full enough picture of risk. In LexisNexis’ telling, the goal is to spot trouble before a claim happens and give underwriters a clearer trigger for investigation and mitigation.

Related photo
Source: ffnews.com

The company’s headline metric is stark: properties with the highest Location Intelligence score are 20 times more likely to have a claim than properties with the lowest score. LexisNexis also pointed to 2025 claims mix data showing non-weather water claims accounted for 24% of all claims, while weather water claims made up 4%. That gap underscores why the company is pitching location intelligence as more than a flood or storm signal. It is trying to capture the mix of weather exposure, plumbing loss and other drivers that can shape homeowners portfolios in ways a basic exterior inspection cannot.

Related stock photo
Photo by Mikhail Nilov
2025 Claims Mix
Data visualization chart

The home launch follows LexisNexis Risk Solutions’ Location Intelligence for Commercial release on June 19, 2025, when the company said the commercial product could deliver more than 20 times the lift of traditional loss-propensity models and help carriers identify the 10% of properties likely to generate 34% of weather-related losses in the coming year. Together, the two launches show LexisNexis pressing the same strategy across property lines: move risk scoring deeper into the underwriting workflow, make it more granular, and tie it more tightly to claims intelligence.

Know something we missed? Have a correction or additional information?

Submit a Tip

Never miss a story.

Get P&C Insurance Software updates weekly. The top stories delivered to your inbox.

Free forever · Unsubscribe anytime

Discussion

More P&C Insurance Software Articles