Company profile
Enter
AI agents for mass litigation, automating critical processes for large enterprises.
- Category
- Legal AI
- Headquarters
- São Paulo
- Sells to
- Enterprise
- Business model
- Not stated
- Deployment
- Cloud / SaaS
- Pricing
- Not published
- Builds own models
- No — builds on existing models
- Modalities
- Text
What Enter does
Enter's mission is to make Brazil a global leader in Artificial Intelligence. They combine AI with human expertise to automate critical processes for large enterprises, starting with legal. Enter's technology brings greater efficiency to every stage of a lawsuit, from case intake and document tampering detection to case law analysis and draft suggestions. All content is audited and reviewed by licensed attorneys. The company focuses on data collection, reading legal documents, enriching evidence, checking for fraud and irregularities, and supporting text elaboration for legal defense.
Key capabilities
- API connection to courts, legal ERPs, and internal systems
- Classification of processes by product, allegation, and value
- AI agents read legal documents (contracts, audio, video, statements) and extract relevant information
- Incorporation of external sources and public databases for evidence enrichment
- Fraud and irregularity detection (litispendence, document tampering, coordinated litigation)
- AI-powered suggestions for legal text elaboration
- Data governance with control, traceability, and responsible use of information
- Control mechanisms for AI-generated suggestions requiring human validation
- No training with client's proprietary data
- Zero Data Retention (ZDR) policy approved by OpenAI and Anthropic
- Infrastructure hosted on Amazon AWS with TLS v1.2 encryption
- Audit logs of all activities, errors, and alerts
- Single Sign-On (SSO) authentication
- Regular Penetration Testing procedures
- Cryptographic controls for data processing and storage (AES-256 at rest)
- Tools for clients to understand AI agents' reasoning
Use cases
- Automating critical legal processes for large enterprises
- Increasing efficiency in mass litigation
- Case intake and classification
- Document tampering detection
- Case law analysis
- Draft suggestions for legal documents
- Identifying patterns of abusive litigation
- Improving success rates in consumer litigation
- Gaining visibility into unstructured information in internal documents
- Taking data-driven legal decisions
- Stratified vision of fraud and scam cases for preventive measures
AI approach
Enter combines AI with human expertise to automate critical processes for large enterprises, specifically in legal litigation. Their AI agents read legal documents, extract relevant information, enrich evidence with external sources, check for fraud, and support text elaboration. They emphasize data governance, control over hallucinations, and do not use client data for training models. They partner with OpenAI and Anthropic for zero data retention.
Tech named: OpenAI, Anthropic, Amazon AWS
Industries served
- Legal
- Technology, Information and Internet
What it says sets it apart
- Combines AI with human expertise, with all content audited and reviewed by licensed attorneys
- Focus on making Brazil a global leader in AI
- Backed by prominent venture capital firms (Founders Fund, Sequoia Capital, Ribbit Capital, Atlantico, ONEVC)
- Strong emphasis on data security and privacy (SOC 2, LGPD, ISO 27001, ISO 27701 certifications)
- Zero Data Retention (ZDR) policy with OpenAI and Anthropic approval
- Control over AI hallucinations with human validation requirements
- Auditability and inspection tools for AI responses
- Strategic partnership with OpenAI
Funding rounds we track
Founders Fund, Sequoia Capital, Ribbit Capital, Kaszek, Atlantico, ONEVC
Founders Fund, Sequoia Capital
From the AI funding tracker — rounds as reported by the linked publications.
This profile was compiled from Enter's own public pages in July 2026 and reflects what the company states about itself — not an endorsement or an independent audit of those claims. Facts are extracted with AI and filtered by an automated check that drops any named product, customer or certification missing from the source pages. Full method. Something out of date? Tell us.