Hire vs DIY
When DIY is fine
When the matter is in between
When you should hire me
Should I hire an attorney for my AI vendor contract or data license?
AI vendor paper is moving faster than the templates that try to capture it. The Copyright Office guidance shifts, the model providers update their commercial terms quarterly, and the contract you sign today contains language that will be litigated in two years. I built the AI-side templates and policy generators on this site to be useful at the early stage. They are not enough when training-data ownership, output indemnity, model-hallucination liability, or cross-border data routing is the real exposure. This page is about deciding which posture you are in. The free AI Legal Analyst chatbox on every page covers a lot of clause-level questions. It does not replace a working redline on a six-figure deal.
Use the templates and free tools on this site when
- You are publishing AI usage rules for your own team. The AI Usage Policy Generator produces a working internal policy that covers acceptable use, confidentiality boundaries, and output review.
- You are launching an AI-features product and need standalone AI platform terms. The AI Platform Terms of Use Generator covers prompt-and-output rights, prohibited-use exclusions, and a baseline disclaimer set.
- You are licensing training data and the deal is straightforward (one dataset, one licensee, defined fields). The AI training data license generator handles the standard one-to-one license. Read the training data licensing insight alongside it.
- You need an AI-specific clause to drop into an existing MSA. The AI Contract Clause Generator outputs AI vendor indemnity, output rights, and acceptable use language ready to splice in.
- You want to read an AI vendor contract before paying anyone to look at it. The free AI Legal Analyst chatbox on every page handles clause-level questions. Drop the clause in and ask. Pair that with the AI vendor indemnity insight and the AI output rights insight.
- You need to understand whether CCPA inference rules apply to your AI inferences. The CCPA AI inference insight walks through the recurring scope question.
- You are documenting your AI compliance posture for due diligence. The combination of the AI usage policy, the platform terms, and the training-data license gives a buyer or investor a clean paper trail.
Book a 30-minute consultation when
- An AI vendor's standard terms include a broad input-license grant and you are not sure whether your data should be inside or outside that grant. A $125 / 30 min consult against the vendor's terms is enough to tell you what to push back on.
- You are signing a model-provider commercial agreement (OpenAI, Anthropic, AWS Bedrock, Azure) and the indemnity language is unfamiliar. Each provider's terms shift quarterly. A scoping call against the current version is the fastest path to clarity.
- You are evaluating whether your AI training pipeline triggers CCPA service-provider obligations, CPRA risk assessments, or the new ADMT rules. One scoping call against your data flow tells you which regime applies and where the work has to be done.
- You are buying a dataset and the seller is in a different jurisdiction. Cross-border data licensing layers on top of the commercial deal. A consult covers the choice-of-law and the practical enforceability of a cross-border breach claim. See the cross-border DPA insight.
- You are deploying AI features inside an existing SaaS product and the customer paper does not mention AI. The consult covers whether your existing terms cover AI use or whether the customer can later argue they did not consent. Most existing terms are silent.
Hire me for the matter when
- You are licensing AI training data for six figures or more. Training-data licensing has open-source-style flow-down problems, derivative-work-ambiguity problems, and output-attribution problems that do not exist in conventional IP licensing. A $349 full review or $599 to $999 review and redline on the linked AI and data licensing practice page is the right tool.
- You are buying or selling output rights and downstream commercialization matters. The Copyright Office's 2023 to 2025 guidance changed the analysis. A template does not reflect the current state of the law. Read the output rights insight first.
- The AI vendor contract has uncapped indemnity for model hallucinations. This is the recurring vendor-side disaster. The customer wants the vendor to indemnify for any hallucinated output that causes downstream loss; the vendor's existing cap is one-year fees. Without a redline, the vendor is signing exposure that destroys it on first claim.
- You are deploying AI features in a regulated industry (healthcare, financial services, legal, education) and need a defensible compliance memo. Hourly work at $240/hr. The deliverable is the memo and the policy stack, not just the contract.
- You are doing AI work for a law firm or another professional services firm. Professional conduct rules (in California, CA RPC 1.1, 1.6, 1.5, 5.3, 1.4) overlay the AI vendor analysis. The template cannot capture that overlay. See the practice page for the engagement scope I run.
- A multi-tenant SaaS DPA needs to handle the new automated decisionmaking and risk assessment rules. The multi-tenant ADMT insight walks through what the CPPA's recent ADMT rules require. Drafting that survives audit is attorney work.
- An AI dispute has matured (an output infringed a third party's IP, a hallucination caused a customer loss, training data is alleged to be unlicensed). Dispute work is the opposite of template work. The vendor indemnity insight covers the analytical pattern.
The honest decision rubric
- Is the AI question about your own operations or about a paper deal with a counterparty? Operations questions can usually be answered by a policy generator and the chatbox. Paper deals over $50,000 of value usually warrant a redline.
- Is the regulatory landscape settled or moving? AI law is moving quarterly. A template captures a snapshot. If the deal's risk is materially affected by guidance issued in the next six months, attorney work is more defensible.
- Does the indemnity actually cover the harm you fear? The recurring failure mode is a contract that names AI indemnification but excludes the actual hallucination, infringement, or downstream harm. A template will not catch that. A redline will.
- Are you in a regulated industry? If yes, the AI vendor contract layers on top of professional or sector rules. Template plus chatbox is rarely enough. Attorney memo is the deliverable.
This page is informational and does not constitute legal advice. Reading it does not create an attorney-client relationship. Engagement begins only after written conflict check and a signed scope agreement. The free AI Legal Analyst chatbox is attorney-supervised information, not legal advice. Outcomes are not guaranteed; if the matter has merit, the redline typically opens a real negotiation.
If your situation lines up with the hire column
Send me the vendor contract, the data license, or the deployment plan with one paragraph on the deal value and the deadline. I respond personally, usually within one business day. If a template or a consult is enough, I will tell you.
See the AI and data licensing practice page Email the intake