Artificial Intelligence

At the forefront of legal and technological innovation, our Artificial Intelligence Practice delivers practical, business-focused counsel to organizations building, procuring, or deploying AI systems. We combine deep legal experience with technical fluency, offering clients robust guidance on data privacy and security, intellectual property, commercial transactions, and regulatory compliance – including emerging frameworks like the EU AI Act and Colorado AI Act. Our team is dedicated to helping clients navigate the rapidly evolving AI landscape with confidence and clarity.

Despite the current cultural buzz around artificial intelligence, our attorneys have significant experience working with clients who build, buy, and use artificial intelligence systems, technologies, and tools. They aim not only to keep pace with the latest AI developments but to stay ahead of them, anticipating the issues that may affect implementation, adoption, and deployment of AI solutions.

Who We Serve

Builders

Companies and teams developing AI systems for internal use or commercial distribution, including system architects and developers, SaaS and on-premises providers, and data/model operations teams. We also support internal innovation groups creating AI-enabled features or automated functionalities.

Buyers

Organizations evaluating, purchasing, or licensing AI systems and tools for internal use – such as for productivity, analytics, marketing, HR, security, or developer operations. These clients focus on selecting and acquiring the right AI solutions to meet their business needs, and we assist them with that procurement process by helping identify risk and compliance requirements that may affect the value of the prospective system.

Users

People and organizations implementing, integrating, or operationalizing AI systems – whether developed internally or procured from third parties – into their business processes, products, or services. This includes companies embedding AI into their offerings or leveraging AI outputs in customer-facing or operational contexts. We assist these clients with their AI use policies and implementation strategies.

What We Do

Our team provides comprehensive legal and technical support across the AI lifecycle, including:

• Regulatory Strategy & Compliance: Guidance on emerging and established AI laws and regulations, including the EU AI Act (scoping, system classification, high-risk obligations, impact assessments), the Colorado AI Act, CCPA, and other U.S. and international frameworks.
• Data Privacy & Security: Extensive expertise in data privacy and security, including data sourcing diligence, permissions and lawful bases, dataset licensing and curation, privacy impact assessments, governance for children's, biometric, and other sensitive data, and security-by-design for AI pipelines. We help clients manage incident response and robust risk management for AI systems.
• Product Counseling & Governance: Development of acceptable AI use policies, human-in-the-loop design, transparency and disclosure workflows, content provenance, bias and fairness testing, explainability documentation, performance monitoring, and model lifecycle governance.
• Commercial Transactions: Support for AI procurement and enterprise rollouts, including negotiation of vendor and channel agreements, strategic alliances, joint ventures, M&A, and diligence for AI assets and IP ownership.
• Intellectual Property Strategies: Advice on all aspects of intellectual property asset management, enforcement, and protection, including patent prosecution, trademark registration, and portfolio management for software, AI, and emerging technologies. Our team regularly counsels on the integration of open-source code or models, as well as IP due diligence and infringement analysis for transactions and litigation.
• Disputes, Investigations & Risk: Representation in connection with regulatory authority investigations or inquiries, incident reporting, consumer protection and employment claims, and internal investigations and audit readiness.

Why Us

Our team includes attorneys with advanced privacy and AI credentials, including Certified Information Privacy Professionals (CIPP) and Artificial Intelligence Governance Professionals (AIGP), ensuring our advice is grounded in the latest regulatory and technical standards. We are recognized thought leaders, frequently invited to speak at industry conferences, contribute to institutional policy discussions, and teach at leading law schools on topics at the intersection of law, technology, and AI. Our hands-on experience advising clients across the AI lifecycle has given us deep technical know-how, allowing us to bridge the gap between legal requirements and engineering realities. Clients trust us for our ability to deliver clear, actionable guidance that is both legally sound and technologically informed.

Builders of AI

• Drafted a multi-year license and service agreement between a developer of autonomous robotics solutions and a third-party hardware/software licensor to enable integrated product offerings for logistics management.
• Negotiated a data sharing agreement for a software developer seeking to train algorithms with protected health information (PHI) supplied by our client, a healthcare provider. Protected our client’s interests under HIPAA, while permitting participation in the development of a new gastrointestinal (GI) software platform.
• Advised the developer of a drone-based inspection services platform and pilot services, including drafting terms and conditions to preserve flexible rights regarding data collected during inspections, negotiating specific data rights with large utility customers, and providing guidance on the potential formation of a voluntary opt-in data consortium for customers and development partners.
• Drafted revisions to client consortium membership documentation and agreements (including a data usage policy) to allow consortium members to use collected data for building, training, testing, and validating purposes. The consortium curates imaging datasets worldwide to advance the fight against idiopathic pulmonary fibrosis (IPF) and other interstitial lung diseases.
• Advised a technology company on the use of AI in developing an internal AI tool to scan documents and process text and visual data.
• Advised on strategy and negotiated agreements to commercialize large-scale AI-driven software for genomic sequencing and identification of viruses and bacteria, supporting drug and diagnostic development and large-scale health surveillance projects.
• Drafted terms of use addressing data ownership and output accuracy concerns for a chatbot deployed using the OpenAI API with client data.
• Reviewed and revised template terms of use, order form, and enterprise agreement for a provider of an AI-driven SaaS platform and voice call services for use by car dealerships in vehicle sales.
• Drafted updates to terms of service for a generative AI search functionality feature added to a media and publishing company’s website.
• Drafted a software reseller agreement between a provider of an elevator monitoring solution and an autonomous robotics company to enable integrated product offerings targeting the healthcare industry.
• Advised on patents, commercialization strategies, and agreements for AI-driven lung image analysis systems.
• Represented a medical technology company in analyzing the training of an AI tool with an open-source dataset.
• Overhauled a software company’s entire contracting process, including customer, vendor, and operational partner agreements, to address risks specific to operating in a highly regulated industry and preparing for a potential exit in 1-3 years. Discussed risks and recommendations with the client’s director of security and head of product development regarding coding with GitHub Copilot.
• Advised a platform and consulting services provider on data rights clauses in services and subscription agreements related to machine learning capabilities and data rights for agribusiness customers.
• Drafted Data Protection Impact Assessment for the use of personal information to build, train, validate, and audit artificial intelligence models that are core to the AI company’s products and services.
• Counseled a healthcare client on the use of Protected Health Information (PHI) and relevant legal risks and prohibitions involved in building AI technology for recognizing when someone takes medication.

Buyers of AI

• Analyzed the terms of a proposed agreement from a multinational technology company seeking access to a publishing company’s content for the purpose of training its large-language models (LLM) and algorithms. Drafted a summary of legal issues and considerations for discussion at the board level. Created a guide on legal considerations for clients regarding the use of artificial intelligence tools for internal use and training.
• Represented a manufacturing client during the beta test and pre-release of an AI system designed to interface with a Customer Relationship Management (CRM) system.
• Represented a healthcare revenue cycle management provider in its acquisition of FIRM Revenue Cycle Management Services, a partner to hospital systems focused on recovering denied, unpaid, and underpaid medical insurance claims.
• Represented a healthcare tech company in its acquisition of an AI and machine learning company that will serve as the research and development engine, focusing on advanced AI capabilities to drive improved financial performance for healthcare providers nationwide.
• Represented an urgent care consulting group in its merger with a developer of an AI platform. The combined company will offer consulting and technology services to optimize care processes for health systems.
• Represented a private equity investment firm in its acquisition of a digital fundraising services company that operates a data lake and leverages several proprietary applications, algorithms, and models in its business. Conducted due diligence on the ownership of both algorithms and outputs when source data originated from third-party sources. Recommended restructuring customer contracts to ensure client ownership of outputs. Negotiated a license agreement with a data broker to secure ownership of algorithms and outputs.
• Advised a healthcare company on strategy and negotiated agreements to enable AI-driven research using a large de-identified health database for drug discovery, biomarker identification, and diagnostic development and testing.
• Represented a university start-up in all transactional matters, including its license of intellectual property and research services transactions with customers. Services agreements provided access to client’s databases and research services based on patented genome sequencing techniques for biome samples. Developed and negotiated contracting approaches and forms for services involving DNA sequencing and big data models powered by AI to support testing and product development in the agricultural and human health sectors.
• Served as general counsel to a health law company, providing ongoing advice on corporate, board, shareholder, contract, compliance, litigation, and employment matters. Negotiated vendor contract provisions restricting vendor use of data obtained through the client’s use for model or algorithm development.
• Advised a technology company on the risks associated with discussing high-level features and key data points between a business with relevant data and a potential AI tool developer.
• Drafted a SaaS subscription agreement for a platform that sources and analyzes consumer survey data related to creative advertising content, providing AI-powered analytics on the effectiveness of such content with respect to the end user’s target audience and marketing goals. Created early-stage language for use with clients regarding data ownership, de-identification, and privacy compliance for initial statements of work and software landing pages.
• Advised a data broker/media AI company on data preservation in standard customer agreements, including the negotiation of a generative AI-specific addendum.

Users of AI

• Drafted a guide outlining legal considerations for the use of artificial intelligence tools for client’s internal use and training.
• Advised on the creation of an AI/ChatGPT usage policy for employees.
• Reviewed client contracts for services with clauses that permit or prohibit vendor use of AI tools.
• Provided advice on employee guidelines for using generative AI tools, including procedures for tracking and documenting generated outputs.
• Advised a creative industry client and web-based technology business with over 1,000,000 registered users on all IT matters, including email vendor relationships, legal compliance, privacy, and security issues. Drafted website terms of use and privacy policies for more than 60 clients. Represented client in startup and formation matters and advised on the company’s “playbook” of generative AI tools for text (ChatGPT, Bard, Bing) and images (MidJourney, Dall-e, Shutterstock, Getty). Provided guidance on the creation of AI/ChatGPT use policy for employees and reviewed contracts for clauses related to vendor use of AI tools.
• Conducted training for national advertising agency employees on legal, compliance, and risk considerations when using ChatGPT and other AI tools for advertising and content creation.

• Advised AI company on how to disclose an AI tool used to identify employee race and gender in their privacy disclosures, as well as coaching clients on how to treat the tool in the context of using it in their businesses.
• Advised an AI company on how to disclose an AI tool used to identify employee race and gender in privacy statements as well as how to coach clients on integrating such tools responsibly in their business operations.
• Advised a private equity firm client on key issues related to the use of generative AI.

Main Contact

Show all Artificial Intelligence professionals