This is a quantized ONNX export of LEGAL-BERT, a BERT model pre-trained on 12GB of diverse legal text including EU legislation, UK legislation, European Court of Justice cases, and US court cases and contracts. The INT8 quantization reduces model size and improves inference speed while maintaining high accuracy for legal domain embeddings.

Use Cases

Legal document search and retrieval
Contract analysis
Case law similarity
Legal text classification
Regulatory compliance document matching

Files

model_quantized.onnx — INT8 quantized ONNX model
tokenizer.json — Fast tokenizer
vocab.txt — Vocabulary file
config.json — Model configuration

Usage with JustEmbed

python

from justembed import Embedder

embedder = Embedder("legalbert-int8")
vectors = embedder.embed(["breach of fiduciary duty"])

Usage with ONNX Runtime

python

import onnxruntime as ort
from transformers import AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained(".")
session = ort.InferenceSession("model_quantized.onnx")

inputs = tokenizer("breach of fiduciary duty", return_tensors="np")
outputs = session.run(None, dict(inputs))

Quantization Details

Method: Dynamic INT8 quantization via ONNX Runtime
Source: Original PyTorch weights converted to ONNX, then quantized
Speed: ~2-3x faster inference than FP32
Size: ~4x smaller than FP32

License

This model is a derivative work of nlpaueb/legal-bert-base-uncased.

The original model is licensed under Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0). This quantized version is distributed under the same license as required by the ShareAlike clause. See the LICENSE file for details.

Citation

bibtex

@inproceedings{chalkidis2020legal,
  title={LEGAL-BERT: The Muppets straight out of Law School},
  author={Chalkidis, Ilias and Fergadiotis, Manos and Malakasiotis, Prodromos and Aletras, Nikolaos and Androutsopoulos, Ion},
  booktitle={Findings of EMNLP},
  year={2020}
}

Acknowledgments

Original model by AUEB NLP Group
Quantization and packaging by JustEmbed

sekarkrishna/legalbert-int8

LegalBERT INT8 — ONNX Quantized

Model Details

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