model_name, tags, pipeline_tag, license, datasets, language

model_name	tags	pipeline_tag	license	datasets	language
LeeChanRX-LegalRights	lora sft transformers trl unsloth legal-ai	text-generation	apache-2.0	LegalFlow-v1	en

LeeChanRX-LegalRights

LeeChanRX-LegalRights is a fine-tuned legal language model built using supervised fine-tuning (SFT) on curated legal datasets.

Features

• Legal question answering
• Contract explanation
• Basic legal reasoning
• Plain-language legal responses

Training Data

• LegalFlow-v1 (50,000 samples)
• LegalBench
• LEDGAR
• EURLEX

Method

• LoRA fine-tuning (Unsloth optimized)
• ~29M trainable parameters
• 0.96% of total model parameters

Usage (Transformers)

from transformers import AutoTokenizer, AutoModelForCausalLM

model_name = "LeeChanRX/LeeChanRX-LegalRights"

tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)

prompt = "Explain breach of contract in simple terms"

inputs = tokenizer(prompt, return_tensors="pt").to(model.device)

outputs = model.generate(
    **inputs,
    max_new_tokens=200,
    temperature=0.7,
    top_p=0.9
)

print(tokenizer.decode(outputs[0], skip_special_tokens=True))

Chat Format Usage

messages = [
    {"role": "system", "content": "You are a legal AI assistant."},
    {"role": "user", "content": "What are my rights if a contract is broken?"}
]

Disclaimer

This model is for educational purposes only and is not a substitute for professional legal advice.

Status

• Training: Completed
• Model: Ready for inference
• Version: LegalRights v1

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If you want next upgrade, I can help you build:

👉 LegalRights v2 (advanced reasoning + court prediction)