You are launching an AI feature
The product needs clear terms for inputs, outputs and the way customers use it.
Operate With Confidence
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
AI, software, fintech and Web3 teams building products that use customer data or generate outputs.
What it can cover
01 · Check the fit
The product needs clear terms for inputs, outputs and the way customers use it.
Data flows, vendor access, retention and contractual promises need review.
The customer's expectations need to be compared with the model and vendor terms.
02 · What we can help with
Map the functions, automated actions and decisions users may make from the outputs.
Examine the inputs, datasets, generated material, ownership terms and permissions.
Review product terms, enterprise agreements, model-provider terms and responsibility for failures.
03 · How to get started
Start with what you have. These details help frame the first discussion.
Send the basics
Then define the scope
Sector-specific, privacy and local-law questions depend on the product and users. Technical accuracy or regulatory compliance is not certified by this review.
Get Expert Advice04 · Common questions
Yes. The scope can focus on what the new feature changes in your data use, customer promises and contracts.
They are an important input where the product depends on a third-party model, API or data provider.
No. Technical testing is a separate task. The legal review examines the product claims, data and contractual responsibilities.
Describe the feature, the data it uses and the contracts you need reviewed.
Get Expert Advice