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Symio-ai/glacier-document-classifier
glacier-document-classifier is a text classification model from Symio-ai. Use it when you need a label for a piece of text. The card lists the license as mit.
Distilled legal AI model for the GLACIER pipeline — Gated Legal Analysis, Citation Intelligence, Evidence Routing.
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From the Hugging Face model README
Distilled legal AI model for the GLACIER pipeline — Gated Legal Analysis, Citation Intelligence, Evidence Routing.
This model is distilled from Claude Opus 4.6 (via AWS Bedrock) into a lightweight transformer for fast, local inference. It handles legal document type classification (complaint, motion, brief, etc.) as part of the GLACIER 6-stage legal document production pipeline.
complaintanswermotionbrieforderopinionnoticesubpoenaaffidavitdemand_letterbar_complaintotherfrom glacier_distill.inference import GlacierPipeline
pipeline = GlacierPipeline()
result = pipeline.classify_document("your legal text here")
print(result)
Or use directly with transformers:
from transformers import pipeline
classifier = pipeline("text-classification", model="glacier-legal/glacier-document-classifier")
result = classifier("your legal text here")
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)
MIT — Part of the GLACIER Legal AI Framework by Orion Dev Partners, LLC.