- Legal AI systems should be built specifically for legal purposes, not repurposed coding agents.
- Key functions include finding supportable arguments, identifying evidence, and enabling verification through an agent workspace with audit trails and user control.
- Agent grounding must be granular at the claim/edit level, not just citing whole documents, with explicit source hierarchy and purpose (e.g., legal authority vs. client facts).
- AI suggestions should show reasoning (instructions, clauses, facts, legal sources, warnings) and present edits as tracked changes for user review, not automatic changes.