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LegalPeace — Legal Contract Reasoning

A fine-tuned Mistral-7B for contract analysis and legal reasoning, running in memory-efficient 4-bit inference via unsloth.

Beta Model

LegalPeace is a research/beta model. Always verify outputs with a qualified legal professional. Trained primarily on U.S. legal data.

Model Card: olaverse/legal-peace-v1.0

Who is this for?

  • Legal-tech teams prototyping contract review features
  • Researchers studying domain-adapted LLMs
  • Anyone needing a first-pass clause analysis before human review

Model Details

Property Value
Base Model Mistral-7B-v0.3
Parameters 7B
Quantization 4-bit (via unsloth)
Training SFT (4,800 cases) + DPO (419 examples)
License Apache 2.0

Performance vs Base Mistral-7B

Benchmark Improvement
Inference Speed ⚡ 10.3% faster
Contract Analysis 📋 32.6% faster
Case Predictions ⚖️ 14.0% faster

Installation

pip install olaverse[legal]
# or: pip install unsloth
# requires GPU

Usage

from olaverse import LegalPeace

model = LegalPeace()
model.load()  # requires GPU + unsloth

clause = """
Analyze this clause: 'All disputes shall be resolved through binding
arbitration in Delaware.' What are the key implications?
"""
print(model.generate(clause, max_new_tokens=300))

Applications

  • ✅ Contract clause analysis and risk flagging
  • ✅ Legal research assistance
  • ✅ Evidence evaluation
  • ✅ Case outcome prediction
  • ✅ Legal Q&A

API Reference

Full class reference: Language Models → LegalPeace