Patent-Analyst Embedding LoRA
LoRA fine-tune of Qwen/Qwen3-Embedding-0.6B for retrieving similar
historical Office Action responses from a US patent prosecution corpus.
Part of the Patent-Analyst project — an AI agent for assisting US patent practitioners with Office Action response drafting.
Intended use
- Embedding-based retrieval of historical responses for a new Office Action rejection
- Reference / educational use to understand domain-tuned embedding models for legal text
Not intended for: direct legal advice, automated filing, or any production attorney-client work without independent practitioner review.
License
CC-BY-NC-4.0 (Creative Commons Attribution-NonCommercial 4.0).
- Research, evaluation, and personal use: permitted with attribution.
- Commercial use: requires separate written license. Contact kwisschen@gmail.com for commercial licensing inquiries.
The base model (Qwen/Qwen3-Embedding-0.6B) is Apache-2.0. This
adapter and the trained weights are CC-BY-NC-4.0.
Method
- Architecture: LoRA on Qwen3-Embedding-0.6B
- Trained on US Office Action rejection ↔ applicant response pairs
- Contrastive loss with in-batch negatives
- Training infrastructure: AWS SageMaker
Limitations
- US-prosecution only; not trained on other jurisdictions
- Retrieval quality depends on corpus coverage of similar past cases
- The model retrieves semantically similar text; it does not assess legal validity or predict outcomes
Disclaimer
This is a research artifact. The Patent-Analyst project is a research demo. Outputs are not legal advice. Any use in actual patent prosecution requires independent review by a licensed practitioner.
Citation
@software{chen2026_patent_analyst_embedding,
author = {Chen, Christopher},
title = {Patent-Analyst Embedding LoRA},
year = {2026},
}