Software companies
Derivative works clauses in insurance software contracts: what they allow
By SourceX Editorial · Reviewed by Noah Loul ·
Short answer
A derivative works clause in an insurance software contract usually lets the vendor create modified or aggregated works from customer data for stated purposes, such as running and improving the service. It rarely authorizes licensing agency or policyholder records to third parties for AI training. Read the purpose limit, ownership terms and confidentiality clause together before relying on it.
Key takeaways
- A derivative works grant is only as broad as its purpose limit, and to provide and improve the services is the most common one.
- Owning a derivative work does not erase the confidentiality and privacy duties attached to the source records.
- Aggregated output and raw policyholder records are different things, and most clauses only reach the first.
- Insurance records carry nonpublic personal information, so privacy and insurance rules may apply whatever the contract says.
- Licensing agency records to an AI developer usually needs explicit customer consent, not a reading of a general clause.
What does a derivative works clause actually grant?#
A derivative works clause grants the vendor a license to create new works based on customer data, such as reports, models, benchmarks or enriched data, and often says who owns them. The phrase borrows from copyright law, where a derivative work is a new work based on an earlier one, but in a software contract its reach is set by the agreement's own definitions.
In agency management systems, rating tools and claims platforms, the source data is unusually sensitive: policy details, coverage limits, loss runs, claim notes, renewal correspondence and insured contact details. Because agencies often sign the vendor's standard agreement, the clause can sit unnoticed until the vendor announces an AI feature or receives an inquiry about licensing records.
Anatomy of a derivative works clause#
A derivative works clause has several parts, and each one narrows or widens what the vendor may do. Read them together; a broad grant paired with a tight purpose limit is narrower than it first looks.
Definitions sit behind every element. Terms such as Aggregated Data, De-identified Data and Services are usually defined elsewhere in the agreement, and a narrow definition of Services, for example one limited to the agency management platform, can keep a separate model training program outside the purpose limit.
| Clause element | Typical wording pattern | What it controls |
|---|---|---|
| Grant | License to use, copy, modify and create derivative works of Customer Data | Which acts are permitted |
| Purpose limit | To provide, maintain and improve the Services | Why the vendor may perform those acts |
| Form condition | Only in aggregated or de-identified form | What any output must look like |
| Ownership | Vendor owns derivative works and Aggregated Data | Who owns outputs, not the source records |
| Confidentiality | Customer Data is Confidential Information | Disclosure limits that continue to apply |
| Survival | Rights in Aggregated Data survive termination | Whether outputs remain usable after the customer leaves |
| Data processing terms | Vendor processes personal data only on customer instructions | Limits on personal information that can narrow the grant |
What the clause usually allows#
The clause usually allows the vendor to use customer data inside its own product work: building reports, tuning features, detecting errors or fraud, and publishing aggregated benchmarks if the wording permits. Where the purpose includes improving the services, training a model that powers a feature for all customers may be argued to fit, depending on the definitions and the data processing terms.
Even then, the grant is usually limited to the vendor. Most clauses do not include a right to sublicense or disclose customer data to third parties beyond subprocessors that help deliver the service, and the confidentiality clause typically restricts disclosure on its own terms.
Watch the definition of Customer Data as well. Some agreements define it to include only what the customer submits, leaving system-generated logs and usage data under separate and often broader vendor rights. Usage metadata about how agencies use the software is more often the vendor's to use than policy and claim content, but it can still contain personal information.
What the clause usually does not authorize#
The clause usually does not authorize handing agency or policyholder records to an outside AI developer, even in modified form. Several separate obstacles tend to stand in the way, and any one of them can be decisive.
A clause written before generative AI was common may also be read narrowly. If AI training was not a use either party had in mind when signing, relying on a general derivative works grant invites dispute with customers who feel surprised.
- Licensing raw or lightly edited customer records to a third party, which confidentiality terms usually restrict.
- Training third-party models, when the purpose limit is tied to the vendor's own services.
- Using personal information beyond the instructions in the data processing terms, where the vendor acts as a service provider.
- Treating aggregated data as anonymous when claim notes or emails still contain names, addresses or policy numbers.
- Setting aside the Gramm-Leach-Bliley Act privacy rules, state insurance privacy and data security rules, or the agency's own privacy notice to insureds, which may apply regardless of contract wording.
How common AI uses compare#
AI uses fall along a spectrum, and the derivative works clause carries less weight the further a use moves from the vendor's own service. The table reflects a general reading only; contracts differ, so each use should be checked against the actual agreement with counsel.
| AI use | Derivative works clause alone | Usually also needed |
|---|---|---|
| Feature that runs on one agency's own data | Often enough, if within the service | Data processing terms that cover the processing |
| Model trained across customers for a vendor feature | Arguable; depends on purpose and form | Clear notice, de-identification and a review of customer terms |
| Aggregated benchmark statistics | Often allowed if the clause covers aggregation | A tested aggregation method |
| Licensing agency records to an AI developer | Rarely enough | Explicit customer consent, privacy review and a separate license |
| Licensing the vendor's own engineering and support records | Not the relevant clause | Rights review of the vendor's internal records |
Illustrative: an agency management vendor reviews its clause#
Illustrative: a fictional vendor of agency management software for independent agencies receives an inquiry about licensing records for AI training. Its standard agreement grants a license to create derivative works of customer data to provide and improve the services, with vendor ownership of aggregated data.
Counsel concludes the clause supports an internal renewal reminder feature but not licensing agency records outside the company. The vendor decides to include no customer data. Instead it scopes its own records: Jira issues, code reviews, release notes and internal support escalations about carrier download failures, after removing agency names and policy numbers quoted in tickets.
The result is a package grounded in records the vendor clearly controls, plus a separate plan to update its customer agreement prospectively, with clear notice, for any future use of agency data.
How SourceX reviews derivative works rights#
SourceX reviews a derivative works clause as one input in the Rights step of the SourceX five-step transaction, alongside confidentiality, data processing terms and the privacy rules that may apply. In insurance software, customer records are excluded by default unless customers have given explicit consent for the specific licensed use.
The SourceX Evidence Packet records the rights basis for every included record type, so a buyer can see whether it rests on company ownership or on documented customer consent rather than on an expansive reading of a general clause.
Frequently asked questions
Does owning a derivative work mean we own the underlying customer data?
No. A clause giving the vendor ownership of derivative works or aggregated data usually leaves the customer's ownership of its original records untouched, and many agreements say so directly. Owning an output also does not remove confidentiality or privacy duties attached to the information inside it.
Is aggregated insurance data safe to license?
Properly aggregated statistics carry less risk than records, but insurance data often includes free text, such as claim notes and emails, that is hard to aggregate. Test whether individuals, agencies or insureds could be identified, and review the applicable privacy rules with counsel before any disclosure.
Can we add AI training rights at renewal?
You can propose new terms, but they apply going forward and customers may negotiate or refuse them. Give clear notice of what changes and explain the use in plain language. Do not apply new rights to records collected under earlier terms without confirming the position with counsel.
Should agencies care about these clauses as customers?
Yes. Agencies should read the purpose limit, ownership and confidentiality terms in their vendor agreements and ask how the vendor uses their data for AI features. The same analysis that limits the vendor also tells the agency what it has already permitted.
Does a derivative works clause cover carrier data that flows through the system?
Carrier downloads and rating data may be governed by separate carrier agreements and the agency's appointments, not just the vendor contract. A vendor clause cannot grant rights the agency never held, so carrier-sourced records need their own review before any use beyond the service.
Related resources
- InsightWhat permitted uses should a code license allow: training, evaluation or RL environments?
- InsightMemorization and regurgitation clauses for licensed source code
- InsightLicense-back terms after a software carve-out, including AI training rights
- IndustrySoftware development agencies data
- IndustryFintech software data
- DataCode review records
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