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AI/ML Strategy Attorney in Seattle, WA

AI adoption is moving faster than most Seattle companies’ legal frameworks. IP ownership in model output, training data compliance, and vendor contract terms all need updated answers. Washington’s business climate rewards founders who build carefully. The state has no personal income tax but applies a business and occupation (B&O) tax that catches companies off guard. Washington also enforces some of the strictest non-compete rules in the country, tight wage and hour protections, and distinct data privacy expectations under the My Health My Data Act and related legislation. Foundry Law Group advises Seattle companies on AI strategy across contracts, policy, and risk allocation, whether you are building AI into your product or buying it from vendors.

IP6

IP Ownership in AI-Generated Output

Who owns the output of an AI system, and who is liable if that output infringes someone else’s rights, are the two questions at the center of every AI deal right now. Courts and regulators are moving fast, and standard IP clauses written three years ago do not map cleanly onto generative tools. We draft and renegotiate agreements to address AI output, training data, and derivative works explicitly.

Data License

Training Data, Licensing, and Compliance

Where training data comes from matters. Scraped data, licensed datasets, user-generated content, and synthetic data each carry different risks. Licensing terms, consent requirements, and regulatory exposure all factor in. We help AI companies build compliant data pipelines and help customers understand what they are buying.

Washington’s privacy framework, Missouri and Kansas consumer protection enforcement, and federal FTC activity all reach AI products in different ways. We map compliance to the specific tools and use cases in play.

AI risk

Vendor Agreements and AI Risk Allocation

Companies now sign AI vendor agreements at a pace that outruns most legal teams’ ability to review them. Indemnification for IP claims, data handling commitments, model change controls, and output warranties all need to be negotiated, not accepted. We build playbooks that let teams move fast without signing blank checks.

Frequently Asked Questions

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