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>
7-step agent pipeline: document classification, party extraction, timeline
extraction, corpus RAG (child_welfare/echr/family_core/bufdir_guidance),
and synthesis using the user's chosen engine (including dbn-legal-agent).
Progressive NDJSON streaming renders doc_meta, parties, and timeline cards
before the final advocacy brief and procedural red flags arrive.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
daveadmin