feat: add internal committee decisions corpus (source_kind='internal_committee')

Three-layer separation: style learning (style_corpus), appeals-committee decisions
(internal_committee), and court rulings (external_upload).

- SCHEMA_V10: chair_name + district columns on case_law and cases, partial indexes
- create_internal_committee_decision() DB upsert function
- search_precedent_library_semantic() now accepts source_kind/district/chair_name params
- search_precedent_library_hybrid() passes through new params
- services/internal_decisions.py: ingest_internal_decision, migrate_from_style_corpus,
  migrate_from_external_corpus (identifies rows via source_type='appeals_committee')
- search_internal_decisions() MCP tool (server.py + tools/search.py)
- internal_decision_migrate() MCP admin tool
- Web endpoints: POST /api/internal-decisions/upload, POST /api/internal-decisions/migrate,
  GET /api/internal-decisions
- ingest_final_version auto-ingests finalized decisions into internal corpus
- SKILL.md updated: agents now search internal + external in parallel, present separately

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

mcp-server/src/legal_mcp/tools/workflow.py

@@ -3,10 +3,13 @@
 from __future__ import annotations
 
 import json
+import logging
 from uuid import UUID
 
 from legal_mcp.services import db
 
+logger = logging.getLogger(__name__)
+
 
 async def workflow_status(case_number: str) -> str:
     """סטטוס תהליך עבודה מלא לתיק - מסמכים, עיבוד, טיוטות.
@@ -315,10 +318,29 @@ async def ingest_final_version(
 
     try:
         result = await learning_loop.process_final_version(case_id, final_text)
-        return json.dumps(result, default=str, ensure_ascii=False, indent=2)
     except ValueError as e:
         return json.dumps({"status": "error", "message": str(e)}, ensure_ascii=False, indent=2)
 
+    # Auto-ingest into internal committee decisions corpus (best-effort).
+    try:
+        from legal_mcp.services import internal_decisions as int_svc
+        await int_svc.ingest_internal_decision(
+            case_number=case_number,
+            case_name=case.get("title", ""),
+            decision_date=case.get("decision_date"),
+            chair_name=case.get("chair_name", ""),
+            district="ירושלים",
+            practice_area=case.get("practice_area", ""),
+            appeal_subtype=case.get("appeal_subtype", ""),
+            text=final_text,
+        )
+        result["internal_corpus_ingested"] = True
+    except Exception as e:
+        logger.warning("ingest_final_version: internal corpus ingestion failed (non-fatal): %s", e)
+        result["internal_corpus_ingested"] = False
+
+    return json.dumps(result, default=str, ensure_ascii=False, indent=2)
+
 
 # ── Chair feedback tools ──────────────────────────────────────────