- Industry: Legal Services (mid-size US law firm)
- Size: 80 attorneys, 40 paralegals
- Challenge: Contract review bottleneck slowing down deal closings
A mid-size law firm was spending an average of 6 hours of paralegal and attorney time to review each commercial contract. With 200+ contracts per month, the review backlog was growing and causing delays in deal closings. Junior associates were burning out on repetitive review work, and the firm was losing competitive bids because of slow turnaround.
Artificial Intelligence involves creating computer systems capable of performing tasks that usually require human intelligence. This includes developing algorithms and models that allow machines to learn, reason, and perceive effectively.Adam Peterson
Legal contract review requires nuanced understanding of clause structures, obligation language, risk indicators, and deviation from standard terms. Off-the-shelf document tools could extract text but could not analyze legal meaning. The firm needed a system that understood legal context, not just keywords.
QUYNT built a custom contract intelligence system using fine-tuned language models trained on the firm’s own contract corpus. The system reads contracts, extracts key clauses (termination, liability, indemnity, payment, IP assignment, non-compete), identifies deviations from the firm’s standard positions, flags risk areas, and generates a structured summary with recommended actions.
- 80% of routine contracts now reviewed by AI with human spot-check only
- 80% of routine contracts now reviewed by AI with human spot-check only
- Review time reduced from 6 hours to 45 minutes per contract
- Risk detection accuracy of 96% (validated against senior attorney review)
- Deal closing time improved by 40% due to faster contract turnaround
- $1.2M annual savings in paralegal time redeployed to higher-value work
