Operate With Confidence

AI Legal Advisory for Web3, Fintech & Software Companies

What does your AI product do with customer data, and what do users rely on it to do? Review those questions alongside ownership, vendor terms and the promises in your contracts.

At a glance

Is this the right service?

AI, software, fintech and Web3 teams building products that use customer data or generate outputs.

What it can cover

  • Product and reliance review
  • Data and IP questions
  • Customer and vendor contracts

01 · Check the fit

When this service fits

You are launching an AI feature

The product needs clear terms for inputs, outputs and the way customers use it.

Customers are uploading sensitive information

Data flows, vendor access, retention and contractual promises need review.

You are signing an enterprise contract

The customer's expectations need to be compared with the model and vendor terms.

02 · What we can help with

What the work covers

Product and reliance review

Map the functions, automated actions and decisions users may make from the outputs.

Data and IP questions

Examine the inputs, datasets, generated material, ownership terms and permissions.

Customer and vendor contracts

Review product terms, enterprise agreements, model-provider terms and responsibility for failures.

03 · How to get started

What to bring

Start with what you have. These details help frame the first discussion.

Send the basics

  • A product demo or feature description
  • Data flows and model or API vendor terms
  • Customer terms and the claims made about the product

Then define the scope

Focus the first conversation on the decision you need to make.

Sector-specific, privacy and local-law questions depend on the product and users. Technical accuracy or regulatory compliance is not certified by this review.

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04 · Common questions

Common questions

Can this cover an AI feature in an existing product?

Yes. The scope can focus on what the new feature changes in your data use, customer promises and contracts.

Do you need to review the model provider's terms?

They are an important input where the product depends on a third-party model, API or data provider.

Is this a technical accuracy or security assessment?

No. Technical testing is a separate task. The legal review examines the product claims, data and contractual responsibilities.

What are users relying on your AI to do?

Describe the feature, the data it uses and the contracts you need reviewed.

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