Industries
U.S. Legal Counsel for Artificial Intelligence Companies
AI model developers, platform operators, and enterprises integrating AI on product terms, training-data rights, output ownership, privacy, and commercial risk allocation.
DP Counsel PLLC provides U.S. commercial and transactional legal services for AI companies. The Firm does not claim specialized AI regulatory expertise. Where sector-specific regulatory, safety, or compliance advice is required, appropriately qualified counsel may be engaged, with coordination by DP Counsel PLLC as appropriate.
Overview
Industry Overview
Artificial intelligence companies — including model developers, AI-powered platform operators, and enterprises integrating AI into commercial products — operate in a contracting environment where data inputs, model training, output ownership, and acceptable-use boundaries must be allocated across provider, customer, and upstream model-provider relationships. The legal work centers on product terms, licensing structures, privacy obligations, and commercial risk allocation that address these issues.
Corporate and financing documentation arises because AI companies raise private capital, structure IP ownership across training data and model weights, and negotiate vendor and model-provider terms that determine what rights flow downstream to end customers. Where specialized regulatory, intellectual-property-litigation, or data-protection advice is required, the Firm coordinates with appropriately qualified counsel.
Legal Issues
Typical Legal and Commercial Issues
AI product terms and acceptable-use provisions
What uses are permitted and prohibited, how misuse is addressed, and whether the provider or customer bears responsibility for harmful outputs.
Training data and input rights
Whether customer data may be used for model training, what third-party rights are needed for training data, and how inputs are treated under the agreement.
Output ownership and licensing
Who owns model outputs and derivative works, how they are licensed to the customer, and whether upstream model-provider terms restrict downstream output rights.
Customer confidentiality and data security
How customer data is protected, what security obligations apply, how security incidents are handled, and what notice and remediation obligations follow.
Vendor and model-provider terms
What rights and restrictions flow from upstream model providers, whether they can be passed through to end customers, and where liability sits if the model provider breaches.
Privacy and risk allocation
How privacy obligations, liability caps, indemnification, and intellectual-property infringement risk are allocated across the AI provider, customer, and model-provider chain.
Experience
Selected Representative Experience
AI-Powered SaaS Terms and Privacy Review
Reviewed terms of service and privacy documentation for an AI-powered SaaS business, focusing on platform terms, data practices, intellectual-property provisions and user-facing risk disclosures.
Creative Marketplace Licensing and Platform Agreements
Drafted coordinated licensing and platform agreements for a creative marketplace, addressing platform participation, content and intellectual-property rights, commercial terms and responsibility allocation.
Software Development Agreement Review
Reviewed a software development agreement addressing project scope, deliverables, acceptance, intellectual-property ownership, confidentiality, payment and termination.
Representative matters are anonymized and provided for informational purposes only. Prior results do not guarantee a similar outcome. Attorney Advertising.
Practice Areas
Related Practice Areas
Publications
Related Insights
Technology Transactions
API Licensing: Key Provisions and Risk Allocation
API agreements should separately address access rights, IP and data use, operational controls, security, change management, exit, and financial risk. The required terms depend on the API model, data flows, applicable law, and bargaining position.
Daehoon Park · May 23, 2026
Technology Transactions
SaaS Contract Architecture: Making the MSA, SOW, SLA, DPA, and Security Terms Work Together
A SaaS deal is governed by a contract suite, not one document. The MSA, orders or SOWs, SLA, DPA, security terms, and online policies must assign each issue to one controlling provision and align operational commitments with remedies, liability, change control, and exit.
Daehoon Park · Apr 27, 2026