Risk Maps
Structured maps of AI-law risks across legal domains, jurisdictions, and practical workflows.
Legal Ethics · Updated 2026-06-06
Maps ethics risks across confidentiality, competence, supervision, billing, and citation integrity.
Main risks
- · Unverified AI citations
- · Client data in public tools
- · Insufficient supervision
- · Opaque AI billing
Vendor Contracts · Updated 2026-06-05
Structured map of clause-level risks in AI vendor agreements.
Main risks
- · Training data rights
- · Output ownership gaps
- · Weak breach notification
- · One-sided indemnity
Employment · Updated 2026-06-03
Employment law risks for AI-assisted hiring and screening tools.
Main risks
- · Disparate impact
- · Missing candidate disclosure
- · Unvalidated vendor claims
- · Audit trail gaps
Evidence · Updated 2026-05-28
Authentication and admissibility risks for AI-generated evidence.
Main risks
- · Deepfake admissibility
- · Authentication failures
- · Discovery disputes
- · Court rule noncompliance
Product Risk · Updated 2026-05-30
Go-to-market and product liability risks for AI companies.
Main risks
- · Overclaimed capabilities
- · Terms-of-service gaps
- · Regulatory misclassification
- · Consumer protection exposure
Legal Ethics · Updated 2026-06-06
Practical risk map for firm-wide generative AI adoption.
Main risks
- · Policy gaps
- · Shadow AI use
- · Client disclosure failures
- · Malpractice exposure