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.
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.
The problem
Most companies deploy generative AI before anyone has decided who owns what it produces — or what it ingested.
The law on training data, output ownership, and human authorship is unsettled and moving — Thaler, the training-data suits, the Copyright Office's guidance. Waiting for clarity is not an option when products ship now; the protection comes from how the vendor contracts, development records, and authorship documentation are built today.
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.
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.
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 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 detailed 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.
- 01
Diagnostic Assessment
We review your current AI deployments, vendor contracts, and development pipelines to map intellectual property exposure.
- 02
Structural Engineering
We draft the protective covenants, licensing terms, and usage policies required to insulate your proprietary inputs.
- 03
Registration Strategy
We structure the precise documentation workflows required to secure copyright for AI-assisted works under evolving federal standards.
- 04
Ongoing Defense
We monitor the shifting regulatory landscape and actively enforce your IP rights against unauthorized model training.
Proof
What stands behind the work.
What stands behind the work — credentials and representative engagements, stated plainly.
AI intellectual-property matters are handled by Christopher Moyé, Esq., who authors the firm's published writing on AI law and authorship.
Enterprise AI vendor and data-licensing terms, training-data and fair-use audits, and copyright-registration strategy for AI-assisted works.
We treat every model integration as an IP transaction — mapping what enters the model and who owns what comes out.
Common questions
Questions clients ask.
Plain answers to the questions that come up most. If yours is not here, send the facts — we answer in writing.
- Can my company copyright something it made with AI?
- Possibly — but only to the extent of human authorship. The U.S. Copyright Office has refused registration for purely AI-generated output and registered works where a human contributed copyrightable expression. We structure and document the human involvement so a registration claim rests on solid ground. The standard here is still evolving, so we advise to the current rule rather than promise a result.
- Who owns the output of an AI tool my team uses?
- It depends on the tool's terms and your contract. Many vendor agreements assign output to the user, but some retain broad rights or reuse inputs for training. We read the terms that actually govern and negotiate the ones that matter before your team builds on the output.
- Is my proprietary data safe when I use an AI vendor?
- Only if the contract says so. Default terms often permit a vendor to use submitted data to improve its models. We negotiate the data-use, confidentiality, and deletion terms that fence your proprietary inputs off from training sets.
- Could using AI expose my company to copyright infringement?
- It is a live risk — pending cases concern models trained on copyrighted material and outputs that resemble protected works. We audit how a model was trained and how your team uses it, and allocate infringement indemnities in the vendor contract so the exposure does not sit entirely with you.
- The law isn't settled — why act now?
- Because your products ship now and litigation is slow. We do not claim a certainty the courts have not provided; we build defensible positions — clean contracts, documented authorship, data controls — that hold up regardless of how the open questions resolve.
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.
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