Practical guidance for law firms navigating AI Exposure, Shadow AI, confidentiality, approved capabilities and configurations, professional responsibility, client expectations, and the continuous work of responsible AI governance.
AI now enters law firms through software updates, embedded capabilities, vendor platforms, employee experimentation, browser tools, integrations, and client-facing systems. The governance question is no longer limited to which AI products the firm formally approved. It is whether the firm understands its total AI exposure.
Read the full analysisAnalysis designed to help firms translate rapidly changing AI risks, obligations, and expectations into practical governance decisions.
Why embedded features, vendors, integrations, and silent software updates can create material AI exposure even without deliberate employee adoption.
Model GovernanceModel selection, routing, retention, and configuration choices increasingly determine whether a tool is appropriate for confidential legal work.
Client ExpectationsThe fastest way to discover whether your AI program is real may be the questionnaire your next client sends before approving the engagement.
Professional ResponsibilityPolicies matter, but firms also need approved tools and configurations, employee education, acknowledgements, reviews, and evidence of maintenance.
Vendor RiskA practical look at retention, training use, model providers, subprocessors, access controls, data residency, and configuration dependencies.
Governance OperationsEffective governance should focus on meaningful capabilities and decisions, not force attorneys to document every individual AI interaction.
Courts, bars, clients, insurers, vendors, and technology providers continue to reshape what responsible AI use looks like for law firms.
What recent rulings reveal about supervision, verification, and firm controls.
How emerging guidance affects competence, confidentiality, disclosure, and fees.
Why governance evidence is becoming part of risk review and client diligence.
How software updates can alter a firm's exposure without a new procurement event.
Use FrostKey's practical resources to establish a baseline governance program, evaluate exposure, and prepare for the questions clients and stakeholders may ask.
A seven-stage structure for discovering AI exposure, setting policy, evaluating capabilities, educating employees, maintaining oversight, and demonstrating responsible use.
Explore the framework
The Law Firm Guide to AI Governance explains why firms need to look beyond isolated tools and policies to understand their broader AI exposure, establish accountable governance, and maintain evidence over time.
Receive practical updates on AI governance, legal developments, client expectations, and new FrostKey resources.
FrostKey helps law firms turn governance decisions into an operating program with approved tools and configurations, policy records, acknowledgements, attestations, ongoing reviews, and audit-ready proof.
Before exploring the articles, read the concise statement of the ideas behind AI Exposure, capability-based governance, responsible enablement, and continuous oversight.
