Needs
Optimize the management and analysis of legal documents, enabling access to relevant information quickly and accurately through artificial intelligence.
Faind
Faind is a LegalTech platform that optimizes the management of legal documents through intelligent processing and the use of artificial intelligence, enabling fast access to relevant information and supporting decision-making with precise data.
Faind before Abstract
Pain points
Manual document handling made search, analysis, and information extraction difficult, generating inefficiency and risks for legal teams.
Limitations
High complexity of legal documents, the need for precision in results, and the challenge of ensuring scalability across large volumes of information.
Project objective
Align expectations, prioritize value, and give execution a clear structure.
Automate the processing and classification of documents
Enable semantic search and natural language queries
Deliver relevant information quickly and accurately
Design a scalable AI-based architecture
Abstract's contribution
Through discovery, design, and architecture, Abstract laid the foundations for a robust, scalable solution aligned with business goals.
AI architecture and document processing
We designed and implemented an architecture that processes, structures, and classifies large volumes of legal documents, leveraging AI to extract relevant information.
- Pipeline de procesamiento de documentos
- Clasificación y estructuración de información
- Integración con modelos LLM
- Arquitectura escalable basada en IA
Semantic search and query experience
We developed an advanced search experience that allows users to consult information in natural language and get accurate, contextual results.
- Implementación de búsqueda semántica (vector search)
- Sistema de consultas en lenguaje natural
- Entrega de respuestas contextualizadas
- Optimización de la experiencia de usuario