نموذج لغوي قانوني مستضاف ذاتياً للقضايا المحمية بالسرية المهنية

نموذج لغوي قانوني مفتوح الأوزان يعمل داخل البنية التحتية للمؤسسة، مع مهايئات خاصة بالولايات القضائية والتحقق من الاستشهادات، للمكاتب التي لا تستطيع إرسال الملفات المحمية إلى سحابات أمريكية أو صينية.

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.

موجز جاهز للصق في Claude Code أو Cursor أو أي وكيل برمجة (بالإنجليزية).