Key Result
80% faster review, 95% accuracy
A top-tier law firm was spending over 200 hours per week on contract review and due diligence work. Senior associates were tied up in repetitive clause identification tasks that consumed billable hours better spent on strategic legal work.
The risk of missed clauses in high-volume M&A deals was a constant concern. Manual review across thousands of pages meant critical provisions could be overlooked, exposing the firm and its clients to significant legal and financial risk.
The firm needed an AI solution that could understand legal language with near-human accuracy, integrate with their existing document management system, and give associates confidence in its outputs.
AINinza fine-tuned a domain-specific LLM on over 50,000 legal documents spanning contracts, regulatory filings, and M&A agreements. The model was trained using QLoRA for efficient fine-tuning, enabling rapid iteration without requiring massive compute budgets.
The system handles contract classification, risk flagging, and clause extraction with high precision. Integration with the firm's existing document management system means lawyers can trigger AI-assisted review directly from their normal workflow without switching tools.
80%
Faster Contract Review
95%
Clause Identification Accuracy
3x
More Deals Reviewed per Quarter
4 weeks
5 weeks
3 weeks
2 weeks