Operate legal AI agents
Action playbook from Jacob Lauritzen (Legora) at AI Engineer. Do not summarize the talk — pick a workflow and execute it.
Supporting files:
- workflows.md — workflows A–F
- source-index.md
Optional deliverables: ./skill-outputs/operate-legal-ai-agents/
Step 0 — Pick workflow
What is the user trying to do?
├─ Map legal tasks to verify/control profile → A
├─ Split human vs agent responsibilities → B
├─ Design artifact-first collaboration UX → C
├─ Encode firm judgment (skills + guardrails) → D
├─ Run multi-doc review (tabular pattern) → E
└─ Fix long chat agents (compaction, rewrites) → F
Open workflows.md for the chosen letter.
Install
cp -r skills/operate-legal-ai-agents ~/.claude/skills/
cp -r skills/operate-legal-ai-agents ~/.cursor/skills/
cp -r skills/operate-legal-ai-agents ~/.codex/skills/
cp -r skills/operate-legal-ai-agents ~/.agents/skills/
Source: ingest-into-skills playlists/ai-in-law-legal-ai-engineer/.
Cross-cutting rules
| Rule | Source |
|---|---|
| Planning/review is the bottleneck; generation is cheap | [src-001 @ 2:44] |
| Chat is low-bandwidth for work trees | [src-001 @ 11:31] |
| Skills beat upfront planning for unknown contingencies | [src-001 @ 9:49] |
| Elicit with decision log + unblock-first | [src-001 @ 10:38] |
Output to user
- Name workflow (A–F) and deliverables
- Save checklists/UX sketches under
./skill-outputs/operate-legal-ai-agents/when requested - Do not auto-commit
Invocation examples
@operate-legal-ai-agents design tabular review for M&A diligence
map our contract tasks on the verifier spectrum
we need artifact-first UX not another legal chatbot