Faced with high volumes of third-party contracts and inconsistent redlining practices, the client implemented a customized AI solution using Large Language Models (LLMs). This automation enabled faster, more consistent contract review, empowered partner teams, and identified legal risks across operations.
Reduction in contract review time (from 80h/month to 13h/month)
Potential legal risks identified per quarter
The client is a leading technology company specializing in autonomous vehicle systems. Their platform integrates advanced AI, machine learning, and sensor fusion to enable Level 4 autonomous driving for both passenger and freight vehicles.
Legal teams face operational strain due to high volumes of third-party papers, inconsistent redlining across partner teams, and time-consuming manual contract reviews.
Playbook generator based on prior contracts
Automated contract review powered by playbook logic
Detrimental terms detector using customized AI for third-party papers
Role-based access to allow cross-functional redlining
Audit trails for regulatory compliance tracking
Analytics dashboard to monitor contract compliance across teams
This AI-led transformation empowered broader partner teams with self-service tools, reduced legal turnaround time by over 80%, and streamlined risk mitigation efforts. The solution ensured regulatory alignment and improved strategic oversight of contract processes.
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