The rapid diffusion of artificial intelligence across every line of business has created a dual reality: unprecedented opportunity paired with an expanding web of legal and regulatory risk. Companies that adopt intelligent systems must simultaneously guard against privacy breaches, intellectual-property disputes, antitrust exposure, and an ever-shifting policy landscape. Against this backdrop, Holland & Knight has assembled a dedicated AI practice that combines deep technical fluency with seasoned legal acumen, offering clients a single point of contact for the full spectrum of AI-related issues.
At the heart of the practice lies a multidisciplinary roster of attorneys, former regulators, and policy analysts. Each member brings a distinct perspective—whether it be courtroom experience, hands-on work with machine-learning pipelines, or years spent drafting federal guidelines. By weaving these skill sets together, the team can translate a client’s technical roadmap into a coherent legal strategy, ensuring that innovation proceeds without unexpected compliance setbacks.
Integrated legal, policy and technical expertise
The group’s hallmark is its ability to merge technology insight with regulatory foresight. Attorneys are not merely legal observers; they understand model training, data labeling, and algorithmic bias detection at a granular level. This technical literacy enables them to anticipate how emerging features might trigger privacy or intellectual property concerns before those issues crystallize in statutes or courtrooms. Simultaneously, policy professionals monitor legislative drafts and agency advisories, positioning clients to adapt swiftly to new mandates. The result is a proactive counsel model that treats compliance as an integral component of product design rather than an afterthought.
Technical depth meets regulatory insight
For example, when a client seeks to embed a generative-AI chatbot into its customer-service platform, the team evaluates the underlying language model, assesses data provenance, and maps the flow of personal information. Privacy implications are flagged early, and contractual provisions—such as data-processing agreements—are drafted to reflect the specific risk profile. On the policy side, the attorneys reference the latest guidance from the Federal Trade Commission and draft internal policies that align with forthcoming AI-specific legislation. This simultaneous approach reduces the likelihood of costly retrofits after a regulator raises a concern.
Industry-specific counsel across sectors
Since advising early-stage AI startups in 2015, the practice has expanded its reach to ten-plus verticals, including transportation, retail, healthcare, real estate, and financial services. Each sector presents a unique regulatory tapestry: a ride-hailing firm must grapple with safety-critical algorithms, while a healthcare provider faces the twin burdens of HIPAA compliance and algorithmic liability. By maintaining a rolling library of sector-specific precedents and regulatory watchlists, the team can tailor advice that reflects both the technical realities and the competitive pressures of each market.
Clients appreciate the firm’s “plug-and-play” methodology, which pairs a senior associate familiar with the client’s industry with a technical specialist versed in the relevant AI modality—be it computer vision, natural language processing, or reinforcement learning. This collaborative model has helped firms launch AI-driven products on schedule while embedding safeguards that address consumer-protection and antitrust considerations from day one.
Shaping and navigating AI regulation
Beyond day-to-day advisory work, Holland & Knight’s AI practitioners play an active role in sculpting the emerging regulatory framework. Team members regularly contribute to federal workshops, submit comments on proposed rulemakings, and testify before congressional committees. Their involvement ensures that client interests are represented in the policy-making process and that firms receive early warning of legislative shifts.
In litigation, the practice has defended companies accused of algorithmic bias and has represented plaintiffs alleging violations of emerging AI statutes. These courtroom experiences feed back into the advisory loop, refining risk-assessment tools and informing best-practice guidelines. Moreover, the team’s thought-leadership—published briefs, conference panels, and webinars—keeps clients abreast of the latest doctrinal developments, allowing them to navigate the intricate AI regulatory terrain with confidence.
In sum, Holland & Knight’s AI team offers a rare blend of technical mastery, legal rigor, and policy influence. By positioning themselves at the intersection of innovation and regulation, they enable businesses to harness the power of AI while staying firmly within the bounds of the law.
