Insurance

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Insurance companies and insurtech startups get legal counsel on technology transactions, data privacy, and the IP and commercial issues behind modern insurance, from attorneys with the engineering background to understand the platforms and analytics driving the industry.

Insurance is being rebuilt around technology, from core platforms to AI-driven underwriting and a wave of insurtech entrants. You might be an established carrier, a reinsurer, or a startup challenging how coverage gets sold and serviced. Our attorneys came out of engineering, so the systems and analytics behind your business are familiar territory. We help insurers and insurtech companies handle the technology deals, privacy obligations, and IP questions that modern insurance creates.

Insurance Technology Transactions

Your operations run on software you mostly buy from others. We negotiate policy administration and claims platform agreements, structure analytics and AI tooling deals, advise on cloud and infrastructure contracts, and manage the vendor relationships that keep your systems running. Because we understand what these platforms do, we draft service levels, data rights, and exit terms that match how the technology actually performs rather than what a sales deck promised.

Insurtech and New Models

New entrants are reshaping distribution and underwriting. We counsel insurtech startups on regulatory compliance, advise on managing general agent structures, handle program business arrangements, and structure the investments and partnerships that connect startups with carrier capacity. Whether you are launching a new product or backing one, we build the legal framework so an innovative model still satisfies the insurance regulators who ultimately decide whether it can operate.

Policyholder Data and Privacy

Insurance runs on sensitive personal information, which means real privacy exposure. We advise on insurance-specific privacy regulations, build data governance you can actually operate, address policyholder data rights, and prepare breach response before an incident forces the issue. For carriers and insurtechs working across jurisdictions, we account for international data considerations so your data practices hold up wherever your policyholders and systems happen to be.

Frequently asked questions

Focus on data ownership and use rights, service levels, security obligations, liability allocation, and what happens to your data on exit. Insurance runs on sensitive policyholder data, so vendor agreements need strong confidentiality, breach-notification, and audit terms, plus the right to retrieve and delete data when the relationship ends. Clear IP ownership over any custom development also matters, since you don't want a core platform locked to a single vendor.

You face a mix: state insurance data security laws, broad consumer privacy laws where your customers live, and sector rules for health-related or financial data. Many states have adopted data security model laws requiring written information security programs and incident reporting, on top of general privacy obligations. The practical approach is to map your data flows, maintain a documented security program, and build breach-response procedures that meet the strictest applicable standard.

Usually as trade secrets rather than patents, since algorithms and models are hard to patent and patenting would require public disclosure. Protect them with access controls, confidentiality agreements, and careful handling in vendor and employee relationships. Keep in mind that insurance regulators may require you to explain or justify rating models, so design your protection so you can demonstrate compliance without surrendering the secret to competitors.

Beyond protecting the technology, you face fairness and transparency requirements, because regulators are increasingly scrutinizing whether AI-driven decisions produce unfair discrimination or unexplained outcomes. You should document data sources, test models for bias, and keep records that support how a decision was reached. Vendor contracts for third-party models should include rights to the information you need to satisfy regulators and to audit the model's behavior.

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