Artificial Intelligence & Robotics Industry Law

Artificial Intelligence & Robotics Industry Law

Montague Law advises AI companies, machine learning startups, autonomous systems developers, and enterprise AI adopters on the legal, regulatory, and transactional challenges of building and deploying artificial intelligence technologies. From early-stage teams developing foundational models to growth-stage companies navigating procurement cycles and regulatory compliance, our practice addresses the rapidly evolving legal landscape surrounding AI across every industry vertical.

Artificial intelligence is transforming every sector of the economy, and the legal frameworks governing AI development, deployment, and governance are evolving in real time. The EU AI Act, state-level AI regulation in the U.S., evolving FTC enforcement posture on algorithmic decision-making, and sector-specific AI guidance from agencies including the FDA, SEC, and banking regulators are creating a complex and dynamic compliance environment. Successfully navigating this landscape requires counsel that understands both the technology and the emerging regulatory frameworks. Montague Law provides that capability.

AI Company Formation & Venture Financing

AI companies raise capital in a market that places extraordinary value on technical talent, proprietary data assets, and model performance. Montague Law structures seed through growth-stage financings for AI companies, addressing the unique considerations that AI investors evaluate — including IP ownership of trained models, data rights and licensing, compute infrastructure costs, technical team retention, and the competitive dynamics of a rapidly consolidating market. We also advise on the corporate structuring of AI labs, including the increasingly common hybrid structures that combine nonprofit research missions with for-profit commercial operations.

AI Intellectual Property Strategy

IP strategy for AI companies must address a multi-layered portfolio spanning training data rights, model architectures, trained model weights, proprietary datasets, and application-layer software. Montague Law advises on the patentability of AI inventions (including the evolving case law on patent eligibility under Alice), trade secret protection for model weights and training methodologies, the copyright implications of training data usage, data licensing agreements for model training, and the ownership of AI-generated outputs. We help companies build IP portfolios that are both defensible and aligned with how AI technology actually creates and captures value.

AI Regulatory Compliance

The regulatory landscape for AI is developing rapidly. We advise companies on compliance with the EU AI Act and its risk-based classification framework, emerging U.S. state AI legislation (including bias auditing, transparency, and disclosure requirements), FTC enforcement priorities regarding algorithmic fairness and deceptive AI practices, sector-specific AI guidance from the FDA (AI/ML-based medical devices), financial regulators (algorithmic lending and trading), and employment agencies (automated hiring tools). We also advise on the Executive Orders and NIST frameworks that are shaping U.S. AI governance policy.

AI Ethics & Responsible AI Governance

Beyond regulatory compliance, companies deploying AI face growing expectations from customers, investors, and the public regarding responsible AI practices. We advise on the development of AI ethics policies, responsible AI governance frameworks, algorithmic impact assessments, bias testing and mitigation programs, and transparency and explainability practices. We help companies establish governance structures — including AI ethics committees and review processes — that demonstrate responsible development while enabling innovation.

AI Procurement & Enterprise Agreements

Enterprise adoption of AI creates new contract types and negotiation dynamics. We draft and negotiate AI-as-a-Service agreements, model licensing arrangements, API access agreements, data processing agreements for AI workloads, and professional services agreements for AI implementation projects. Key contractual issues include model performance representations, accuracy and reliability limitations, liability allocation for AI-driven decisions, data ownership and model training rights, and the customer’s right to audit and explain model outputs.

AI M&A & Talent Acquisitions

The AI sector has seen significant M&A activity driven by the strategic value of AI talent, proprietary models, and training data assets. Montague Law advises on AI company acquisitions, acqui-hires, and strategic transactions. AI M&A raises distinct considerations including the valuation of trained models and data assets, the retention of key AI researchers and engineers, IP due diligence for complex AI portfolios, and the evaluation of regulatory risk associated with the target’s AI deployments. We also advise on the competition law dimensions of AI acquisitions as regulators increasingly scrutinize consolidation in the AI market.

Autonomous Systems & Robotics

AI-powered autonomous systems — including autonomous vehicles, drones, surgical robots, and industrial automation — face distinct regulatory and liability frameworks. We advise on the regulatory approvals required for autonomous system deployment, product liability considerations for AI-driven physical systems, insurance and risk allocation frameworks, and the evolving standards governing autonomous decision-making in safety-critical applications. We also advise on the data governance and privacy implications of autonomous systems that collect and process sensor data in public and commercial environments.

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Illustrative Engagement: AI Healthcare Platform Series A

An AI company developing a clinical decision support platform for radiologists engaged Montague Law to advise on its Series A financing and FDA regulatory strategy. Our team structured a $15 million Series A that included milestone tranches tied to FDA 510(k) submission and clearance, advised on the company’s IP strategy — including patent prosecution for the model architecture and trade secret protection for training data and model weights — negotiated data licensing agreements with three hospital systems that provided the training data needed for model development while complying with HIPAA requirements, and developed a regulatory compliance framework addressing both FDA AI/ML medical device guidance and the emerging state-level AI transparency requirements applicable to healthcare algorithms.

This illustrative engagement is a hypothetical composite and does not represent any specific client matter. It is provided to demonstrate the types of work Montague Law handles for AI companies.

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Frequently Asked Questions

Can I patent my AI model?

AI-related inventions can be patented, but patent eligibility under 35 U.S.C. § 101 and the Alice framework requires careful claim drafting. Abstract mathematical algorithms standing alone are generally not patentable, but AI inventions that produce specific technical improvements or are tied to particular practical applications may be eligible. We work with patent counsel to develop prosecution strategies that account for the evolving case law on AI patentability.

Who owns the output of an AI model?

Ownership of AI-generated outputs is an evolving area of law. Under current U.S. copyright law, works must be created by human authors to receive copyright protection — purely AI-generated outputs are not copyrightable. However, AI-assisted works with significant human creative input may be protectable. Contractually, the ownership of AI outputs is typically addressed in the service agreement between the AI provider and the customer. We advise on structuring these provisions.

What is the EU AI Act and does it affect my U.S. company?

The EU AI Act is a comprehensive regulatory framework that classifies AI systems by risk level and imposes corresponding compliance obligations. It applies to companies that place AI systems on the EU market or whose AI systems produce effects within the EU — which means U.S.-based AI companies serving European customers or users may be subject to its requirements. The Act imposes the most stringent obligations on “high-risk” AI systems used in areas like healthcare, employment, and law enforcement.

How should I handle training data licensing?

Training data rights are one of the most consequential legal issues for AI companies. Data licensing agreements should address the scope of permitted use (including whether the data can be used for model training), exclusivity and competitive restrictions, data quality and accuracy representations, privacy and regulatory compliance obligations, and the rights to derived works and trained model outputs. We draft data licensing agreements that protect both data providers and AI developers.