Legal AI and Agentic Workflow Insights

A framework for separating extraction, review, approval, and evidence capture in AI-assisted legal document workflows.

A practical guide to separating AI models from permissions, approval gates, evidence, and legal workflow integrations.

A framework for placing human review and approval gates in AI-assisted legal workflows while preserving lawyer decision authority.

What law firms should reconstruct when an AI workflow reads information, proposes a decision, or attempts an external action.

Architecture and acceptance-test questions for isolating matter context, permissions, evidence, and actions in legal AI workflows.

A vendor-neutral framework for deciding what information an AI workflow may send, where it may go, and what evidence is required.