Flatten cases directory structure and unify paths

- Remove cases/new|in-progress|completed subdivision (status managed in DB)
- Rename documents/original → documents/originals (consistent plural)
- Move exports from global data/exports/ into cases/{num}/exports/
- Add documents/research/ for case law and analysis files
- Update all agents, scripts, config, web API endpoints, and DB paths

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

scripts/extract_google_vision.py

@@ -0,0 +1,66 @@
+"""Extract text from PDF using Google Cloud Vision API."""
+
+import io
+import time
+from pathlib import Path
+
+import fitz  # PyMuPDF for rendering pages to images
+from google.cloud import vision
+
+API_KEY = "AIzaSyDZgUsxsy_FHkkREU7R_oQLJALU3_V26j8"
+
+PDF_PATH = Path("/home/chaim/legal-ai/data/cases/1130-25/documents/originals/מרק קובר-כתב ערר.pdf")
+OUTPUT_DIR = Path("/home/chaim/legal-ai/data/cases/1130-25/documents/extracted")
+
+
+def main():
+    OUTPUT_DIR.mkdir(parents=True, exist_ok=True)
+
+    client = vision.ImageAnnotatorClient(
+        client_options={"api_key": API_KEY}
+    )
+
+    doc = fitz.open(str(PDF_PATH))
+    page_count = len(doc)
+    print(f"Processing: {PDF_PATH.name} ({page_count} pages)\n")
+
+    pages_text = []
+    total_time = 0.0
+
+    for i in range(page_count):
+        page = doc[i]
+        pix = page.get_pixmap(dpi=300)
+        img_bytes = pix.tobytes("png")
+
+        image = vision.Image(content=img_bytes)
+
+        print(f"  Page {i+1}/{page_count}...", end=" ", flush=True)
+        t0 = time.time()
+        response = client.document_text_detection(
+            image=image,
+            image_context={"language_hints": ["he"]}
+        )
+        elapsed = time.time() - t0
+        total_time += elapsed
+
+        if response.error.message:
+            print(f"ERROR: {response.error.message}")
+            pages_text.append("")
+            continue
+
+        text = response.full_text_annotation.text if response.full_text_annotation else ""
+        pages_text.append(text)
+        print(f"{len(text):,} chars, {elapsed:.1f}s")
+
+    doc.close()
+
+    full_text = "\n\n".join(pages_text)
+    out_file = OUTPUT_DIR / f"{PDF_PATH.stem}.md"
+    out_file.write_text(full_text, encoding="utf-8")
+
+    print(f"\nTotal: {len(full_text):,} chars, {len(full_text.split()):,} words, {total_time:.1f}s")
+    print(f"Saved: {out_file}")
+
+
+if __name__ == "__main__":
+    main()