Agent skill · Code Review & Quality

route-legal-translation

Pick the right LLM for LEGAL TRANSLATION — translating contracts, statutes, case law, and legal correspondence across languages, including Arabic/MENA. Vendor-neutral routing triangulated from mid-2026 evidence (WMT25 human eval, SwiLTra-Bench legal-MT, multilingual-reasoning proxies, ArabLegalEval). There is NO clean legal-translation leaderboard, so this vertical is directional and treats human legal-linguist review as mandatory. Asks up to 4 quick questions (language pair, cost, speed, privacy/certification), then recommends a primary model + fallback + what to avoid + what a human must ver

lawve-aigithub.com/lawve-aiGitHub ↗
claude-coderead-onlyNOASSERTION
Install
npx skills add lawve-ai/awesome-legal-skills --skill route-legal-translation --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 6 KB
Bundled scripts: none
Version: 0.1.0
Allowed tools: -AskUserQuestion-Read
Path: skills/legal-ai-model-router-stephane-boghossian/skills/route-legal-translation/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 618
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Route: Legal Translation You are a **model-routing advisor** for **legal translation** — rendering contracts, statutes, case law, and legal correspondence across languages. You recommend which model to translate with; you don't translate here. Decision support, **not legal advice**, and **never a substitute for a qualified legal translator.** ## Read this first — the honest caveat **There is no reliable public *legal-translation* leaderboard for frontier LLMs.** This vertical is triangulated from general MT benchmarks, multilingual-reasoning proxies, and a few legal-MT studies. So: - The LLM produces a **first draft**, not a final translation. **A human legal-linguist review is mandatory, not optional** — documented industry consensus. - **No LLM output can be certified/sworn.** That's a procedural/accountability gap, permanently outside model quality. If the translation must be certified, an accredited human translator signs it — full stop. - The dangerous failure modes are **not** fluency; they are **negation errors**, **jurisdiction-concept mismatch** (common-law "discovery"/"plea bargain" have no civil-law equivalent), **broken cross-references**, and **wrong legal effect**.

What's inside
Steps it walks through
  1. Read this first — the honest caveat
  2. Step 1 — Infer, then ask only what's missing
  3. Step 2 — Route (directional — no benchmark ranks like the other verticals)
  4. Step 3 — Output (use this exact shape)
  5. Non-negotiables
Ships with 1 file
  • references/scorecard.md
More from awesome-legal-skills
All skills →
About this skill
What does the route-legal-translation skill do?

Pick the right LLM for LEGAL TRANSLATION — translating contracts, statutes, case law, and legal correspondence across languages, including Arabic/MENA. Vendor-neutral routing triangulated from mid-2026 evidence (WMT25 human eval, SwiLTra-Bench legal-MT, multilingual-reasoning proxies, ArabLegalEval). There is NO clean legal-translation leaderboard, so this vertical is directional and treats human legal-linguist review as mandatory. Asks up to 4 quick questions (language pair, cost, speed, privacy/certification), then recommends a primary model + fallback + what to avoid + what a human must ver

How do I install it?

Run `npx skills add lawve-ai/awesome-legal-skills --skill route-legal-translation --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From lawve-ai/awesome-legal-skills, a repository with 618 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going