Drafting complex rulings bottlenecked the court. Now, AI generates decisions, so magistrates review drafts instead of writing from scratch.
A Brazilian state court system serving the entire state of Goiás with nearly 8,000 staff members across 127 judicial districts.
Legal teams faced significant bottlenecks due to the manual effort required to draft complex documents and retrieve information from disparate...
Judiciary body providing legal and court services for the state of Goiás.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Conducted proofs of concept and provided technical support for TJGO's AGAIA platform development.
Related implementations across industries and use cases
Manual analysis of 60,000 inquiries dragged on for years. AI agents now sift evidence in minutes, resolving cases in under a day.
Subjective pension reviews led to costly disputes. AI now validates decisions against legal precedents, cutting lost lawsuits by 50%.
Manual review dragged for months at 67% accuracy. AI agents now analyze millions of docs in <2 days with >90% precision.
Data policies blocked collaboration. Federated AI detects signals 10x faster, syncing global observatories without exposing raw data.
Drowning in 80,000 monthly alerts, analysts struggled to secure data. AI now prioritizes threats, cutting response time by 99%.
Manual reviews bottlenecked legal workflows. AI now automates drafting and litigation responses, saving lawyers 10 hours weekly.
Writers averaged 2.3 reports/year. Teams now generate 300-page regulatory drafts in minutes, cutting writing time by 90%.