AI Law & Model Licensing
AI Legal Counsel for Founders, Operators, and Companies Commercializing AI Technology
Wire Law advises companies building and commercializing artificial intelligence products, models, platforms, and services. We counsel founders and AI companies navigating the rapidly evolving legal landscape surrounding model training, data licensing, intellectual property, regulatory compliance, and commercial deployment.
Legal Complexity at the Center of AI Commercialization
AI companies today are creating legal exposure across multiple fronts simultaneously:
- Training models on third-party data with unclear licensing rights
- Commercializing outputs that may implicate copyright, derivative work, or personality rights
- Negotiating enterprise customer agreements with strict SLAs, indemnification, and regulatory exposure
- Structuring model licensing, SaaS platforms, or hosted deployment agreements
- Managing FTC, privacy, and global regulatory compliance for AI deployments
- Preparing for investor diligence, M&A, and long-term defensibility of model assets
Wire Law sits directly at the intersection of intellectual property, contract law, data rights, and regulatory exposure for AI-native companies.
AI Model Training Data Licensing
- Negotiation of dataset acquisition agreements, including scraping, public domain, licensed third-party datasets, proprietary training data, and co-developed data pools
- Structuring licensing terms to avoid future IP contamination or re-training liability
- Chain-of-title verification for data sources across multiple jurisdictions
- Drafting model training licenses with dataset providers, universities, research partners, and corporate data licensors
- FTC and consumer consent compliance for personally identifiable or sensitive data ingestion
Copyright & Ownership of AI-Generated Content
- Copyrightability assessment for AI-generated content, both fully autonomous and AI-assisted
- Ownership and derivative work analysis for fine-tuned models, transfer learning, and multi-party model contributions
- Contractual ownership frameworks between model developers, users, customers, and content licensees
- Drafting content ownership and revenue-sharing structures for SaaS AI platforms commercializing outputs
- Dispute advisory for conflicting copyright claims involving trained models, prior works, and downstream commercial uses
Model Licensing & Commercial Deployment
- Model licensing structures for enterprise SaaS integrations, hosted API access, or on-premise deployments
- Revenue-share and subscription models for SaaS AI commercialization
- API terms of service and platform licensing frameworks for developer ecosystems
- Joint venture and co-development agreements between model trainers, data owners, and commercial licensors
- Enterprise customer negotiations, including uptime SLAs, indemnification, performance warranties, and data protection obligations
AI SaaS Platform Agreements
- SaaS subscription agreements incorporating AI-generated output delivery
- AI service-level agreements (AI-SLA) defining performance metrics, training update obligations, bias testing, audit rights, and model explainability
- Regulatory compliance language for enterprise clients with strict legal and reputational risk concerns
- Limitation of liability frameworks for unpredictable or probabilistic model behavior
AI Regulatory Compliance
- FTC compliance for AI transparency, bias disclosures, and deceptive practice prevention
- Global privacy law compliance (GDPR, CCPA, state AI laws, pending EU AI Act, Colorado AI law, and future U.S. frameworks)
- Consent management frameworks for consumer data training inputs
- Ongoing monitoring of AI legislative developments impacting model development and commercialization
AI Due Diligence for Investors & Acquirers
- IP ownership verification for trained models and datasets
- Contract review of licensing rights, exclusivity provisions, and downstream restrictions
- Data contamination risk assessment for models trained on scraped or publicly harvested datasets
- Investor diligence preparation for venture financings, institutional rounds, or acquisition transactions
- Risk analysis for future liability tied to model training, copyright challenges, or regulatory actions
Wire Law advises AI companies at every stage of scale — from model development to full-scale commercialization, platform deployment, enterprise contracting, venture financing, and long-term regulatory exposure.
We serve AI companies across SaaS platforms, healthcare AI, fintech AI, enterprise AI deployments, data labeling companies, model trainers, foundation model startups, AI-native consumer applications, and corporate AI integrations.
AI law is not theoretical. It’s commercial, enforceable, and already impacting your company’s future capital, partnerships, customer contracts, and exit valuation.
Wire Law operates directly inside the AI legal stack — building enforceable legal structures that protect your model, your revenue, and your long-term defensibility.
