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Legal Bert Lgpd

Developed by celiudos
A named entity recognition model for the Portuguese legal domain, compliant with Brazil's LGPD data protection law, specializing in identifying sensitive information in legal texts.
Downloads 668
Release Time : 1/21/2025

Model Overview

This model is a BERT-based named entity recognition model specifically designed for Portuguese legal texts, capable of identifying various entity types such as names, dates, addresses, CPF numbers, etc.

Model Features

Legal Domain Optimization
Specially optimized for Portuguese legal texts, accurately identifying various entities in legal documents.
LGPD Compliance
Designed to comply with Brazil's General Data Protection Law (LGPD), suitable for processing legal documents containing sensitive personal information.
High-precision Recognition
Achieves high precision with an F1 score of 0.947 on the carolina-c4ai/corpus-carolina dataset.

Model Capabilities

Identifying names in legal texts
Extracting date information
Locating addresses and postal codes
Identifying CPF numbers
Extracting phone numbers
Recognizing email addresses
Extracting monetary amounts

Use Cases

Legal Document Processing
Sensitive Information Identification in Legal Documents
Automatically identifies sensitive personal information in legal documents, such as CPF numbers, addresses, etc.
Accurately identifies multiple entity types with an F1 score of 0.947
Legal Case Information Extraction
Extracts key entity information from case descriptions to assist legal analysis.
Capable of processing complex legal texts and identifying various entity relationships
Compliance Review
Personal Data Protection Review
Helps identify sensitive personal information in documents that requires protection to ensure LGPD compliance.
Accurately identifies 8 types of sensitive information
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