Самохостируемая юридическая LLM для привилегированных дел

On-prem открытая языковая модель для права с адаптерами юрисдикций и проверкой цитат для фирм, которые не могут отправлять привилегированные файлы в облака США или Китая.

I want to build a venture-scale product. Help me plan and start the MVP.

Product: Self-hosted legal LLM for privileged matters
What it is: On-prem, open-weight legal LLM with jurisdiction adapters and citation verification for firms that can't send privileged files to US or Chinese clouds.
Who pays: Managing partners and GCs at 50–500 lawyer firms and regulated in-house teams handling sensitive matters; $2k–10k/mo per firm from the legal-tech/security budget
Closest alternatives: Harvey, CoCounsel (Thomson Reuters), Spellbook, self-hosted Llama/Qwen via vLLM
The gap: Harvey/CoCounsel are closed SaaS on US foundation labs whose usage policies explicitly allow judgment-based disclosure and require human-in-the-loop; consumer labs (Anthropic, OpenAI) and Chinese labs (Z.ai) are both disqualified for sensitive matters. No vendor ships an open-weight legal model with on-prem deployment, jurisdiction adapters and a clean data-provenance audit story aimed at firms.
Why now: Within the last year Anthropic formalized a policy allowing it to share user files with third parties when legal rights are affected, and Z.ai's workspace-snapshotting scandal plus the closed Chinese-model release made data sovereignty a live buying criterion rather than a theoretical concern.
Moat to build toward: Jurisdiction-specific adapter packs and citation-verification corpora compound with usage; trust/audit certification (SOC2, bar-association endorsements) is slow to copy.

Готовое ТЗ, которое можно вставить в Claude Code, Cursor или любого ИИ-агента для кода (на английском).