Technology and transactional counsel for companies building, selling, and entering the U.S. market.

They serve different purposes. A Privacy Policy explains what information the product collects, how it is used or disclosed, the choices available to users, and the privacy requirements that may apply. Terms of Service govern the legal and commercial relationship with users, including acceptable use, intellectual property, subscriptions and payments, disclaimers, limitations of liability, termination, and dispute terms. The right documents depend on the product, users, jurisdictions, and data practices.

The answer depends on who uses the product, where those users are located, what data the product handles, and how the business uses or shares it. The analysis may involve state privacy laws, consumer notice and rights requirements, rules for sensitive information, contract commitments, and international frameworks such as GDPR where the business reaches those users. A practical review connects the legal requirements to the product’s actual data flow and user experience.

A typical launch review may include Terms of Service, a Privacy Policy, customer or SaaS agreements, developer and intellectual-property agreements, vendor and data-processing terms, contractor documents, and disclosures for particular product features. An AI product may also need model-provider terms, data-use language, disclosures, and human-review procedures. The right sequence depends on the product, launch market, customers, data, and revenue model; the goal is a usable legal stack rather than paperwork for its own sake.

The agreement should match how the product is sold and delivered. Common issues include the services and access rights, implementation, fees and renewals, usage limits, service levels, support, intellectual-property ownership, customer data, confidentiality, security commitments, warranties, indemnities, liability limits, termination, and transition obligations. Enterprise customers may require additional privacy, security, insurance, audit, or subcontractor terms. A careful review also checks that the contract reflects what the product and sales team actually promise.

Often, yes. The work may need to address training and input data, model or API provider terms, ownership and permitted use of outputs, accuracy and human oversight, prohibited uses, disclosures, data retention, security, and responsibility for third-party tools. Customer contracts should allocate the practical risks of AI use instead of leaving them ambiguous. The right language depends on whether the business develops the model, integrates a third-party model, or uses AI as one feature of a larger product.

Children’s data can trigger additional obligations, including age screening, parental notice, verifiable parental consent, limits on collection and disclosure, data minimization, retention controls, and product design requirements. COPPA may apply to services directed to children or that knowingly collect personal information from children under 13, while state privacy laws can add protections for teenagers and sensitive data. The legal review should follow the actual onboarding, analytics, advertising, and deletion workflows rather than treating a policy as a substitute for product controls.

A DPA may be appropriate when one party processes personal data for another and the parties need to define roles, instructions, security, subprocessors, incident response, assistance with data rights, international transfers, and deletion or return of data. Whether one is required depends on the data, the relationship, the jurisdictions involved, and the underlying contract. We can help align the DPA with the product’s actual processing activities and avoid promises the business cannot operationally meet.

Written agreements should address the relationship, scope, payment, confidentiality, intellectual-property ownership and assignment, pre-existing materials, security, data access, subcontractors, deliverables, termination, and return or deletion of information. For developers, a clear IP assignment is especially important because ownership can be unclear when work is created by contractors or through a vendor. Vendor terms should also be checked for data use, model training, indemnity, service changes, and limitations that could affect the product.

Read beyond the price and headline services. Focus on the scope, service levels, renewal and termination rights, customer data, security commitments, audit rights, subprocessors, IP ownership, confidentiality, warranties, indemnities, liability caps, insurance, governing law, and what happens when the relationship ends. Enterprise paper often shifts operational obligations to the smaller company. A focused review identifies which provisions create real exposure and gives you a negotiation plan tied to the business decision.

Ongoing counsel can make sense when contracts, privacy questions, vendors, product changes, and customer negotiations are recurring rather than isolated. A continuing relationship can preserve context, keep the legal stack consistent, and help the team identify issues before they become launch or revenue blockers. A single fixed-scope review may be the better fit for one agreement or a defined launch task. We can help determine the appropriate scope, fee structure, and cadence after understanding the business.