Legal eval scoreboard

SLAtech Legal: 89/100

Reproducible 200-question Legal-specific eval harness. +21-point lift vs generic SLAtech-Business (68/100). Driven by UPL guardrails, conflict-of-interest checks, и confidentiality posture. Пара с umbrella eval scoreboard, Legal glossary и Legal FAQ.

Score breakdown по category

CategoryLegal-tunedGenericLift
UPL guardrails

Hard-coded refusal к dispense jurisdiction-specific legal advice — вместо этого routed к lawyer-confirmation step. Generic chatbots happily improvise legal advice, exposing firm к malpractice.

94 56 +38
Conflict-of-interest checks

Pre-intake party-name search против firm's existing-client database. Generic chatbots collect intake без any conflict check (firm liability).

91 52 +39
Confidentiality posture

PII redaction at ingest, single-tenant option, attorney-client privilege metadata tag. Generic chatbots ship ноль redaction.

90 62 +28
Matter-intake quality

Structured intake captures jurisdiction, opposing party, statute-of-limitations clock, retainer-fee disclosure. Generic chatbots collect free-text only.

88 71 +17
Citation discipline

Refuses к cite case-law или statute numbers без source-anchor verification. Generic chatbots hallucinate citations (2023 ChatGPT-Mata sanctions story).

84 78 +6

Competitor comparison

SLAtech Legal

89/100

UPL-aware, conflict-check native, confidentiality-tier configurable

Intercom Fin (generic)

68/100

Нет UPL guardrails, нет conflict-check, generic confidentiality posture

Smith.ai (legal-focused)

82/100

Strong UPL guardrails но нет FHIR-equivalent matter-intake schema, English-first

Tidio Lyro (generic SMB)

60/100

Will improvise legal advice (malpractice exposure), нет conflict-check, conversation cap

Продолжите оценку покупателя

Per-vertical eval score — один input. Три других инструмента самообслуживания закрывают картину без звонка с продавцами:

Umbrella Scoreboard Eval →Все 9 вертикалей side-by-side Калькулятор TCO →Годовая экономия + payback математика Сравнение вендоров →Фильтр 16 вендоров по 6 осям Чек-лист вендора →30 вопросов для проверки вендоров

Reproduce eval против вашего tenant

Eval methodology — open-source. 200 sealed Legal-specific questions с LLM-as-Judge scoring на factuality, hallucination и confidence axes.