Precedents
Read-Only Cited-precedent extraction with citation-treatment classificationPrompts
Settings
Precedent Extraction
precedents.py :: build_precedent_prompt()
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Decision Synthesis Parameters
Minimum Q&C alignment score for candidates (0.0-1.0)
Max candidates to refine via LLM
Minimum confidence for provision detection
Use only LLM for decision synthesis
LLM Parameters
Model for synthesis LLM calls
0.0=deterministic, 1.0=creative
Maximum response tokens
Phase Info
Service File
app/routes/scenario_pipeline/step4/precedents.py
Prompts
1 LLM prompts
Test with Case
Go to Step 4 page
Select a case above first
Step 4 Pipeline
Provisions
Precedents
Questions
Conclusions
Transformation
Rich Analysis
Decision Synthesis
Narrative