Legal departments in large enterprises face high volumes of civil and labor litigation that require extensive document review, evidence gathering, and draft preparation, leading to costly manual processes and inconsistent case outcomes. Limited access to advanced analytics and automation hampers the ability to develop effective defense strategies and detect abusive litigation patterns.

Enter provides AI-powered platforms for civil and labor litigation that automate data collection, document analysis, and evidence enrichment. The system connects via APIs to court databases, ERP legal systems, and internal repositories, classifying cases by product, claim type, and value. Specialized AI agents read contracts, audio, video, and financial extracts, while external public sources are integrated to strengthen defenses. Over 30 built‑in fraud and abuse checks identify patterns such as duplicate filings and document tampering. The platform generates draft pleadings and custom defense theses, which are reviewed by attorneys before filing, and continuously monitors injunctions and judgments to refine strategy. All operations run on a secure, AWS‑hosted infrastructure with strict data governance, zero‑retention policies, and compliance certifications (SOC 2, ISO 27001/27701, LGPD).

API-driven ingestion of court records, ERP legal data, and internal case files with granular classification by claim attributes

AI agents that perform exhaustive analysis of contracts, audio recordings, videos, and financial statements

Automated enrichment of case evidence using external public databases and sources

More than 30 fraud and abuse detection rules, including litispendência and document alteration checks

Generation of draft legal documents and customized defense theses, requiring attorney validation before submission

Real‑time monitoring of injunctions and judgment outcomes to feed back into defense strategy

Enterprise‑grade security: AWS VPC, TLS 1.2 in transit, AES‑256 at rest, SOC 2, ISO 27001/27701, LGPD compliance, and zero data retention for model training

Enter targets in‑house legal teams of large corporations across sectors such as finance, technology, retail, and aviation that manage high volumes of civil and labor disputes.