refactor: remove dbn_legal engine from BVJ Analyzer
dbn-legal-agent is not suitable for structured RAG synthesis: - Fine-tune contamination appends feedback loops after JSON output - 7-min latency vs 45s for gpt-4o-mini - 8B base gives weaker instruction-following on complex JSON contracts - No improvement in citation accuracy (RAG provides the legal content) dbn-legal-agent kept for open-ended freeform Norwegian legal Q&A where citation structure isn't required. BVJ synthesis now uses azure_mini|azure_full|gpu only. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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@@ -38,10 +38,9 @@ require_once __DIR__ . '/includes/layout.php';
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<span class="control-label">Engine</span>
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<label><input type="radio" name="bvjEngine" value="azure_mini" checked> Azure gpt-4o-mini ★ <small class="control-hint">(~30-60s)</small></label>
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<label><input type="radio" name="bvjEngine" value="azure_full"> Azure gpt-4o <small class="control-hint">(best · ~90-180s)</small></label>
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<label><input type="radio" name="bvjEngine" value="gpu"> GPU (cuttlefish) <small class="control-hint">(local · ~45-90s)</small></label>
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<label><input type="radio" name="bvjEngine" value="dbn_legal"> 🇳🇴 Norwegian specialist <small class="control-hint">(dbn-legal-agent · ~60-120s)</small></label>
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<label><input type="radio" name="bvjEngine" value="gpu"> GPU qwen2.5:14b <small class="control-hint">(local · ~45-90s)</small></label>
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</div>
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<p class="upload-hint">Engine applies to the final advocacy synthesis only. Document classification, party extraction, and timeline are always fast (azure-mini). Norwegian specialist is best for Barnevernloven, ECHR Article 8, and Bufdir analysis.</p>
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<p class="upload-hint">Engine applies to the final advocacy synthesis only. Document classification, party extraction, and timeline are always fast (azure-mini).</p>
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<div class="dr-slice-section">
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<p class="control-label">Corpus slices</p>
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