What types of contracts do you review?

NDAs, licensing agreements, vendor contracts, employment agreements, SaaS agreements, collaboration agreements, and many other commercial documents.

Can you review contracts quickly?

Turnaround depends on complexity and workload, but timely review is a priority. Most simple agreements can be reviewed within 24–48 hours.

Do I need custom contracts or templates?

It depends on your workflow. Many clients benefit from customized templates that can be reused consistently.

Can contracts protect my intellectual property?

Yes. Properly structured agreements help define ownership, licensing rights, and usage permissions.

Is contract support only for large businesses?

Not at all. Many growing businesses benefit from early legal guidance to avoid costly issues later.

What happens if I already signed an agreement?

You can still review terms, understand your obligations, and plan next steps strategically.

Do you negotiate contracts on my behalf?

Yes. Support can include drafting, reviewing, revising, and negotiating terms.

AI Contracts & Output Ownership Attorney

Why it matters

Why AI needs real counsel.

AI is reshaping how creative and technology companies build — but the legal questions it raises are new, unsettled, and easy to get wrong. Who owns model outputs? What rights do you have in training data? Does your API license actually permit what you're shipping? These aren't abstract debates; they're terms in contracts you're signing now.

Most legal guidance on AI is either hand-wavy or alarmist. Rootmark Law approaches it from the inside — with hands-on experience building and deploying AI products, who can tell the real risks from the imagined ones and write terms that hold up.

Common AI risks

Unclear ownership of AI-generated outputs and derivatives
Training-data rights and licensing exposure
Model and API terms that don't match how you actually use them
Privacy, IP, and liability questions baked into product terms

What's included

How we help.

Practical legal guidance for companies building with AI — grounded in hands-on technical experience, not just theory.

Training-Data Rights.

Assessing and structuring rights in the data behind your models.

Model & API Licensing.

Reviewing and negotiating the agreements that govern the models you build on.

Output Ownership.

Clarifying who owns AI-generated outputs and derivatives.

Product Terms.

Drafting terms of service and usage policies for AI-powered products.

Governance.

Internal AI use policies and risk frameworks your team can actually follow.

Risk Assessment.

IP, privacy, and liability reviews specific to AI features.

When to call

Common situations clients face.

AI guidance helps when you are:

Building a product on top of third-party models or APIs
Negotiating model, API, or data-licensing agreements
Unsure who owns the outputs your product generates
Using training data with uncertain rights or provenance
Drafting product terms, governance policies, or AI use policies
Fielding customer or investor questions about AI risk

Who it's for

Who this is for.

AI counsel fits teams shipping real products with real models, including:

AI-native startups and product teams
SaaS companies adding AI features
Studios and agencies using generative tools in client work
Founders negotiating model or data agreements
Teams writing AI policies and governance

FAQ

AI & Emerging Tech

Why AI needs real counsel.

How we help.

Common situations clients face.

Who this is for.

Frequently asked questions.