barflyman/glacier-citation-classifier-ONNX

glacier-citation-classifier (ONNX)

This is an ONNX version of Symio-ai/glacier-citation-classifier. It was automatically converted and uploaded using this Hugging Face Space.

Usage with Transformers.js

See the pipeline documentation for text-classification: https://huggingface.co/docs/transformers.js/api/pipelines#module_pipelines.TextClassificationPipeline

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GLACIER glacier-citation-classifier

Distilled legal AI model for the GLACIER pipeline — Gated Legal Analysis, Citation Intelligence, Evidence Routing.

Model Description

This model is distilled from Claude Opus 4.6 (via AWS Bedrock) into a lightweight transformer for fast, local inference. It handles citation treatment classification (followed, distinguished, overruled, etc.) as part of the GLACIER 6-stage legal document production pipeline.

• Base model: nlpaueb/legal-bert-base-uncased
• Task: sequence-classification
• Labels: 6 classes
• Max length: 256 tokens

Labels

• followed
• distinguished
• overruled
• cited
• questioned
• harmonized

Usage

from glacier_distill.inference import GlacierPipeline

pipeline = GlacierPipeline()
result = pipeline.classify_citation("your legal text here")
print(result)

Or use directly with transformers:

from transformers import pipeline

classifier = pipeline("text-classification", model="glacier-legal/glacier-citation-classifier")
result = classifier("your legal text here")

Training

• Teacher: Claude Opus 4.6 (AWS Bedrock)
• Method: Knowledge distillation (Hinton et al., 2015) with temperature=4.0, alpha=0.7
• Data: CourtListener case law + synthetic labeled examples
• Framework: HuggingFace Transformers + custom DistillationLoss

GLACIER Pipeline

This model is part of the GLACIER pipeline stages:

Stage 1: QUERY    -> jurisdiction-router + document-classifier
Stage 2: RESEARCH -> legal-ner (entity extraction)
Stage 3: WDC #1   -> (full model review)
Stage 4: DRAFT    -> legal-ner + citation-classifier
Stage 5: WDC #2   -> hallucination-detector + citation-classifier
Stage 6: FINAL    -> (human review)

Limitations

• Distilled models are optimized for US legal text (federal + state)
• Not a substitute for full model review in GLACIER Stages 3/5
• Citation hallucination detection is a pre-filter, not a replacement for external verification
• Jurisdiction coverage: Florida, Mississippi, Federal (primary); other states (limited)

License

MIT — Part of the GLACIER Legal AI Framework by Orion Dev Partners, LLC.