Find the AI legal exposure buyers will surface first.
A five-minute triage maps your AI risk across four areas investors and acquirers consistently probe: data rights, output ownership, customer and vendor contracts, and internal governance. Receive a personalized risk profile, prioritized actions, and a printable personalized brief.
Twelve questions. Four critical areas. One personalized brief.
Answer 12 questions
Multiple-choice questions covering how your team uses, builds, and contracts around AI. Each answer is weighted by the level of legal exposure it represents.
Add contact details
After the categorical questions, add your contact details and permission acknowledgment so the report summary can be routed correctly.
See your radar
Receive a four-axis risk profile with color-coded zones and your three most urgent issues identified by area.
Receive the summary
Your score, tier, and three prioritized posture actions render inline and are queued for email follow-up through HighLevel.
The areas where AI legal problems start before they show up in diligence.
Most AI legal exposure isn't created at launch. It accumulates across four areas where business pace outruns documentation. This triage maps each one.
What data does the model use, and on what basis?
Training inputs, customer data flows, retention, deletion, and documented rights to use the data the way the system uses it.
Who owns what the system produces?
Employee and contractor IP assignment for AI-assisted work, invention disclosure rhythm, and whether outputs are protectable at all.
Do your terms match your actual use?
Customer-facing AI claims, vendor terms on training and retention, and indemnity provisions in inbound and outbound contracts.
Who approves, who reports, who owns it?
Written AI use policy, approval authority for new tools and use cases, and the cadence of leadership and board-level reporting.
A profile your leadership team can act on.
The brief is engineered to drop into an executive conversation or a board memo. Plain language. Practical. Whiteford-branded.
- Risk score across four areas, color-coded by exposure level
- Three highest-priority actions ranked by likelihood of surfacing in diligence
- Report summary delivered through the approved HighLevel workflow
- Optional follow-up consultation scheduled in two clicks
2. Update contractor IP assignments to address AI-assisted work.
3. Designate AI approval owner and document four current tools.
Jeff Schell
Jeff Schell is Managing Partner of Whiteford's Mountain West practice and an AI legal advisor to technology companies. A patent attorney, venture capitalist, and former two-time founder, he works at the intersection of intellectual property, AI risk, and venture growth. Since 2012, his work has supported the creation of over $100 million in transaction and enterprise value across Colorado's technology ecosystem.