Legal AI Editorial Methodology
How Legalai.guide verifies sources, limits legal claims, and keeps Codex, Claude, and legal AI workflow guidance current.
Legal AI Editorial Methodology
Legalai.guide is maintained as an educational workflow guide for lawyers and legal teams. The editorial standard is practical: a page should help a legal professional decide what to do next, what to verify, and where the risk boundary is.
Source Standard
We prefer:
- Official product documentation for Codex, OpenAI, Claude, Claude Code, MCP, and GitHub behavior.
- Allowlisted GitHub repositories for implementation details where official docs point to code.
- Legal-tech vendor pages only for claims about that vendor's own product.
- Primary legal sources when a workflow discusses legal authority.
We avoid:
- Unsourced product claims.
- Pricing claims without a current official source.
- Claims that a model can guarantee legal accuracy.
- Jurisdiction-specific legal advice unless the page is intentionally scoped and reviewed.
Freshness Standard
Pages that discuss fast-changing tools should include:
last_validatedin frontmatter.docs_checkedURLs for product-sensitive claims.- A visible route to
/updateswhen the topic is likely to change. - Conservative wording when a feature, plan, model, or integration may change.
Legal Safety Standard
Every workflow should make clear:
- What the AI system is allowed to do.
- What the human reviewer must verify.
- What should be escalated.
- What source material was used.
- Whether the output is a draft, triage aid, checklist, code change, or final deliverable.
Editorial Test
Before publishing a page, ask:
- Does this start from a lawyer's real workflow?
- Does it distinguish facts, tool behavior, and legal judgment?
- Does it include a review gate?
- Does it avoid invented authority?
- Does it route the reader to the next useful step?
If a page fails any of these, it needs revision before it can be treated as a cornerstone page.
Current Maintenance Loop
The public /updates page records source-backed changes that affect legal AI workflows. Daily and backfill automation should update tutorials only when the source is strong enough and the legal workflow impact is concrete.