Scheme scope + "should we OCR the whole corpus?" — evidence-based answer

Date: 2026-08-15 | Additional Azure DI spend for this analysis: $0.22 (40 docs / 116 pages)

Question

Is there benefit to OCR-ing and indexing the entire ~23,561-document 2025-2026 corpus, or do we already have what's needed?

Answer: NO whole-corpus OCR needed — we have what's required.

The index metadata alone (grantor/grantee/type/date, which we scraped for free) already isolates the fraud fingerprint. Whole-corpus OCR (~$210, ~23k docs) would add negligible value for this case. Instead a tiny targeted OCR conclusively closed the remaining gap:

What we tested

1. All "INVALID DEED" annotations in the window → exactly 2 (#4583923 Ingalls, #4583924 Schermer) — both already captured.
2. Self-conveyance QCDs (grantor = grantee): 935 — but almost all are legitimate estate-planning transfers to the owner's own family trust.
3. Exact self-to-self, non-trust QCDs (the true land-patent fingerprint): 42. Removing the 2 known INVALID DEED docs left 40; we downloaded + OCR'd all 40.
4. Scanned those 40 for the distinctive fraud markers ("land patent", "patent account", "Bagnell v. Broderick", "successor in interest", "highest evidence of title", "Collins v. Bartlett", and the fraud notary Hicks / #194569).

Result

• Zero of the 40 contain the distinctive land-patent language or the Hicks notary. (A few contain generic quitclaim boilerplate like "remise" or "Willamette Meridian" — present on ordinary deeds.)
• Conclusion: the only land-patent quitclaim frauds recorded in Island County in the 2025-2026 window are the three already identified (Shroyer #4582708, Ingalls #4583923, Schermer #4583924), plus their supporting notices/declarations. No additional victims/properties from this specific scheme are hiding in the corpus.

Why the index (not full OCR) is sufficient here

• The fraud is self-indexed under the perpetrators' own names and flagged by the County ("INVALID DEED"), so a name/pattern search of the metadata index finds it — no image text needed.
• Full-text OCR only helps for deeds that reference a property without naming the target in the index. That risk is real in general, but for THIS scheme the perpetrators recorded under their own names, so the index already captures them.

When whole-corpus OCR would be worth it (not now)

• If you later suspect frauds recorded under strawman names with mis-tied legals (the classic "wild deed"), a bounded content index would help — the pipeline is built and ready (scripts\ocr_di.py, push_to_search.py, Azure index island-county-deed). Cost to do the full 2025-2026 window later would be ~$210. Not justified by current evidence.

Running DI cost

Cumulative additional Document Intelligence spend across the whole engagement: ~$0.22 (see 08_self-index\azure\page_tally.json) — vs. the $500 cap. The originating tip + free index made the expensive bulk OCR unnecessary.