Not Legal AdviceWritten by a Law StudentEducational AI-Law Research Portfolio

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AI Law Intelligence Map

A structured map of the legal issues, jurisdictions, sources, and practical risks shaping AI law.

Legal domains

Confidentiality, competence, supervision, and citation integrity.

Training data, fair use, output ownership, and infringement.

Personal data, retention, inference, and cross-border transfers.

Algorithmic hiring, bias, and workplace AI monitoring.

Vendor Contracts

Data use, training rights, indemnity, and liability clauses.

Evidence/Deepfakes

Authentication, admissibility, and forensic validation.

Consumer Protection

Disclosures, marketing claims, and unfair practices.

Federal frameworks, agency guidance, and enterprise controls.

Product/Startup Risk

Product liability, terms, and regulatory exposure.

Jurisdiction layers

AI law is not one statute — it is a stack of overlapping legal layers.

Federal law

Statutes, constitutional limits, and federal common law overlays.

Federal agencies

Guidance, rulemaking, and enforcement from sector regulators.

State AI-specific laws

Enacted or pending AI-focused state legislation.

Existing state privacy/employment/consumer laws

General frameworks that may apply to AI systems.

Court rules

Standing orders, local rules, and procedural requirements.

Bar ethics opinions

State and ABA guidance on lawyer AI use.

International/comparative sources

EU AI Act, OECD, and comparative policy references.

Practical risk questions

Is personal data being used?

Is the system making or assisting a decision?

Does it affect employment, housing, credit, insurance, education, healthcare, or legal services?

Is there human review?

What does the vendor do with user data?

Are outputs externally relied on?

Are disclosures, audits, or records required?

Federal vs state AI law

Layer	What it covers	Examples	Why it matters
Federal executive & agency action	Cross-sector AI governance expectations, procurement rules, and sector guidance	Executive orders, OMB memoranda, agency AI guidance	Sets baseline expectations for regulated entities and government contractors
Federal sector regulation	Industry-specific rules for financial, healthcare, employment, and consumer AI	Agency guidance, proposed rulemakings, enforcement trends	Determines compliance obligations for regulated products and services
State AI-specific statutes	Targeted AI transparency, impact assessment, and automated decision rules	State enacted or pending AI legislation	Creates direct compliance duties for multi-state operators
State general law overlays	Privacy, employment, consumer protection, and tort frameworks applied to AI	Comprehensive privacy laws, employment screening rules, UDAP statutes	Often applies even when no AI-specific statute exists
Court & ethics layer	Litigation procedure, evidence, and professional responsibility	Court standing orders, bar ethics opinions	Governs day-to-day legal practice and litigation risk

How Aidicia analyzes an issue

Step 1

Define fact pattern

Step 2

Identify legal buckets

Step 3

Check federal layer

Step 4

Check state layer

Step 5

Check agency/court/ethics rules

Step 6

Map practical risk

Step 7

Link sources

Step 8

Flag update needs

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