PRACTICE · AI LAW

AI Intellectual Property Strategy

The law defining generative outputs, training data, and model weights is unsettled, yet businesses must operate today. We do not wait for the courts to decide the boundaries of ownership; we engineer legal frameworks that protect proprietary inputs and secure defensible rights to outputs. Whether you are procuring enterprise API access or navigating the Copyright Office’s stringent human-authorship requirements, we draft the protections that keep your enterprise structurally sound.

Discipline
AI Law
Engagement
Per matter or retainer
Counsel
Christopher Moye
AI LAW
Operating inside uncertainty
The law is moving fast, but business moves faster.
Principles · 01

How we draft the matter.

Every engagement is composed against these commitments. They shape the protections we add, the questions we ask, and the document that leaves the file.

§ 01

Operating inside uncertainty

The law is moving fast, but business moves faster. We provide defensible answers so you can deploy today without risking the enterprise tomorrow.

§ 02

Fencing the data

If you do not explicitly protect your data in the vendor contract, you have surrendered it. We treat every API integration as an IP transaction.

§ 03

Documenting intervention

Copyright favors the human. We structure the development workflows that prove to the Copyright Office exactly where the human began and the machine ended.

What we watch · 02

What can break the matter.

These are the terms, structures, and practical risks that usually decide whether the work holds when the file is tested.

FOUNDERCTO

Model Procurement & Fencing

Negotiating enterprise AI vendor agreements that definitively quarantine proprietary data from public training sets and aggressively allocate IP infringement indemnities.

CREATORSTUDIO

AI Authorship & The Thaler Standard

Structuring internal development pipelines to document the precise human intervention required to secure copyright registration over AI-assisted outputs.

INNOVATORDATA OFFICER

Training Data Licensing & Ingestion

Conducting fair-use pipeline audits and structuring sophisticated data licensing agreements to insulate generative models from downstream infringement liability.

The work · 03

Four steps. One engagement.

Each step is concrete; each step has a deliverable. The scope is defined, the matter moves, and the file closes.

  1. 01

    Diagnostic Assessment

    We review your current AI deployments, vendor contracts, and development pipelines to map intellectual property exposure.

  2. 02

    Structural Engineering

    We draft the protective covenants, licensing terms, and usage policies required to insulate your proprietary inputs.

  3. 03

    Registration Strategy

    We structure the precise documentation workflows required to secure copyright for AI-assisted works under evolving federal standards.

  4. 04

    Ongoing Defense

    We monitor the shifting regulatory landscape and aggressively enforce your IP rights against unauthorized model training.

SUBMIT YOUR INQUIRY

Protect your proprietary inputs.

Ensure your intellectual property remains fenced off from public training sets and secure registration for your AI-assisted works.

Send us your matter