Schell IPWhiteford
Whiteford
Whiteford
Mountain West
Technical lead magnet prototype

Build an AI compliance gameplan before the first legal meeting.

Answer a short set of non-confidential questions and get a readiness heat map, priority workstreams, and a suggested Whiteford service path.

Privacy and engagement guardrails

Do not submit confidential, proprietary, trade-secret, privileged, employee/applicant/customer/patient-specific, or matter-specific facts. This staging tool is educational only; it is not legal advice, a compliance determination, or an attorney-client relationship. Whiteford can advise only after conflicts review and a written engagement.

Source-current note: legal sources and public-copy claims must be rechecked and approved on publication day before any public launch.

Assessment inputs

Score AI readiness without sharing confidential facts.

Use conservative categorical answers. The preview updates instantly and does not submit anything until you request the report below. Do not include confidential, proprietary, employee/applicant/customer/patient-specific, trade-secret, privileged, or matter-specific facts.

Disclaimer gate before intake

Do not include confidential, proprietary, employee/applicant/customer/patient-specific, trade-secret, privileged, or matter-specific facts. This tool is educational only, is not legal advice, is not a compliance certification, and does not create an attorney-client relationship.

Use-Case Inventory
The company has a current inventory of AI uses by team, purpose, owner, vendor, data touched, and decision impact.

Includes internal productivity tools, embedded product features, and shadow AI use.

Categorical answer only. Do not include confidential, proprietary, employee/applicant/customer/patient-specific, trade-secret, privileged, or matter-specific facts.

Vendor Risk
AI vendor terms have been reviewed for data use, confidentiality, IP ownership, indemnity, audit rights, and security obligations.

Covers standalone AI tools and AI features inside existing SaaS platforms.

Categorical answer only. Do not include confidential, proprietary, employee/applicant/customer/patient-specific, trade-secret, privileged, or matter-specific facts.

Human Review
Consequential AI outputs have a defined human review, override, escalation, and recordkeeping path.

Especially where AI affects access, eligibility, pricing, employment, legal, or customer decisions.

Categorical answer only. Do not include confidential, proprietary, employee/applicant/customer/patient-specific, trade-secret, privileged, or matter-specific facts.

Data Sensitivity
Sensitive, confidential, personal, regulated, and customer-provided data are mapped before use in AI systems.

Includes prompts, uploads, training, fine-tuning, retrieval, logs, retention, and vendor reuse.

Categorical answer only. Do not include confidential, proprietary, employee/applicant/customer/patient-specific, trade-secret, privileged, or matter-specific facts.

Governance Owner
A named business owner has authority over AI intake, approvals, policy exceptions, vendor review, and reporting.

The owner can coordinate legal, security, product, HR, and operations rather than just publishing a policy.

Categorical answer only. Do not include confidential, proprietary, employee/applicant/customer/patient-specific, trade-secret, privileged, or matter-specific facts.

Customer-Facing AI
Customer-facing AI features, claims, outputs, disclaimers, and support escalation paths are reviewed before release.

Covers chat, recommendations, scoring, summaries, agents, copilots, and AI-labeled product features.

Categorical answer only. Do not include confidential, proprietary, employee/applicant/customer/patient-specific, trade-secret, privileged, or matter-specific facts.

Employment / HR AI
AI used for recruiting, hiring, performance, scheduling, monitoring, compensation, or workforce analytics has extra review.

Employment AI often needs more bias, notice, documentation, and human review discipline.

Categorical answer only. Do not include confidential, proprietary, employee/applicant/customer/patient-specific, trade-secret, privileged, or matter-specific facts.

Colorado / Mountain West
The company is tracking Colorado and Mountain West AI, privacy, employment, and consumer-protection readiness issues.

The goal is practical readiness for changing obligations, not a one-time legal conclusion.

Categorical answer only. Do not include confidential, proprietary, employee/applicant/customer/patient-specific, trade-secret, privileged, or matter-specific facts.

Non-diagnostic readiness preview

High readiness priority

The categorical answers point to several controls that should be organized and reviewed before AI use expands.

50 readiness / 100 review priority
Report-page warning

Do not include confidential, proprietary, employee/applicant/customer/patient-specific, trade-secret, privileged, or matter-specific facts. Source-current note: this staging tool uses current public-source framing only as of the internal review draft. Re-check sources and approve exact copy before any public launch.

Conflicts and engagement caveat

Using this tool, requesting a report, or booking a discussion does not create an attorney-client relationship. Whiteford can provide legal advice only after conflicts review and a written engagement.

Readiness indicator50/100
Review priority indicator100/100

Category readiness indicators

Use-Case Inventory50
Partly visible
Vendor Risk50
Partly visible
Human Review50
Partly visible
Data Sensitivity50
Partly visible
Governance Owner50
Partly visible
Customer-Facing AI50
Partly visible
Employment / HR AI50
Partly visible
Colorado / Mountain West50
Partly visible

Priority workstreams

Data Sensitivity

Map sensitive data flows and retention before expanding AI use or adding new vendor integrations.

Vendor Risk

Prioritize vendor contract review for tools touching customer, employee, source code, or regulated data.

Human Review

Define when humans must review, approve, override, and document AI-assisted decisions.

Use-Case Inventory

Build a current AI use-case and vendor inventory before policy, contract, or customer questions become reactive.

Recommended next step

Create a data sensitivity matrix for AI prompts, uploads, logs, model training, and retention.

Suggested Whiteford path: AI Compliance Readiness Sprint.

Email my report request

Report delivery is transactional and separate from marketing updates. Do not include confidential, proprietary, employee/applicant/customer/patient-specific, trade-secret, privileged, or matter-specific facts.

Final-submit warning

Do not include confidential, proprietary, employee/applicant/customer/patient-specific, trade-secret, privileged, or matter-specific facts. Using this tool, requesting a report, or booking a discussion does not create an attorney-client relationship. Whiteford can provide legal advice only after conflicts review and a written engagement.

Marketing updates are off. The report request can still be submitted with only transactional handling.

Source-current note: this staging tool uses current public-source framing only as of the internal review draft. Re-check sources and approve exact copy before any public launch. Using this tool, requesting a report, or booking a discussion does not create an attorney-client relationship. Whiteford can provide legal advice only after conflicts review and a written engagement. Please do not reply to any report email or booking prompt with confidential facts unless and until conflicts are cleared and a written engagement is in place.

Research anchors

The tool is framed as readiness, not a legal determination.

Report email, calendar CTA, and any booking flow must repeat the no-confidential-information warning and the conflicts/written-engagement caveat before external use.