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legal-ai/docs
Chaim 4a297f910c Lessons from 1033-25 (clean acceptance — first in training corpus)
Comparison of our draft (טיוטה-v6, 2,126 words) against Dafna's final
decision (עריכה-v2, 2,299 words). 14 lessons (#20-#33) covering what
the draft got right and where she rebuilt the discussion.

Key findings:
- Lesson #20: Match doctrinal depth to legal uncertainty. In clean
  acceptance the committee's OWN conditions provide the anchor — no
  CREAC framework needed. The draft's 101-word "נבאר" doctrinal
  paragraph was deleted entirely.
- Lesson #21: Plant analytical seeds in the background ("ודוק"
  foreshadowing) for technical planning distinctions.
- Lesson #23: Concrete documentary evidence (specific permits in
  buildings 5, 7, 11) beats generic statements.
- Lesson #25: Counter-factual reasoning — "approved by mistake" gives
  the committee benefit of the doubt while strengthening reversal.
- Lesson #26: Engineer counter-factual — "had he known the shadow plan
  was not feasible, his opposition would have been even stronger".
- Lesson #27: "אכן...אולם" / "לא נעלם מעינינו" patterns are for
  rejection, NOT acceptance. Don't use prophylactically.
- Lesson #28: "ונפרט;" (ו prefix + semicolon), never "נפרט." with
  period.
- Lesson #33: Full acceptance against permit applicant → no expenses
  to either side.

New transition phrases catalogued: "דיון עקר", "אושרה מתוך טעות כי הרי
לא נוכל להניח כי אושרה למראית עין", "ועדת הערר אפשרה מרחב של זמן
בתקווה כי ההחלטה תתייתר", "להלן כדוגמא מתוך", "ברי כי הכוונה ל...".

Several of these lessons fed directly into daphna-acceptance-architecture.md
(template A) and daphna-decision-tree.md from the recent voice corpus
work; this file remains the case-study record.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-28 17:37:38 +00:00
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