Legit offers a privacy automation platform, Data Privacy Manager, that utilizes AI to automate personal data discovery, classification, and compliance management. This technology addresses the challenges of regulatory compliance and data retention by streamlining privacy processes for businesses in a digital environment.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations face increasing challenges in complying with complex data privacy regulations such as GDPR and CCPA, particularly in discovering, classifying, and managing personal data across diverse IT systems. Manual processes are time-consuming, prone to error, and struggle to keep pace with the evolving data landscape and regulatory requirements. This can lead to compliance failures, data breaches, and reputational damage.
Solution
Legit offers Data Privacy Manager, an AI-powered privacy automation platform designed to streamline personal data discovery, classification, and compliance management. The platform connects to various data sources, both in the cloud and on-premises, and uses machine learning algorithms to automatically identify and classify personal data. Data Privacy Manager provides a centralized dashboard for managing data processing activities, responding to data subject requests, assessing privacy risks, and ensuring compliance with data retention policies. By automating these processes, Legit helps organizations reduce the risk of non-compliance, improve data governance, and save time and resources.
Target Audience
Legit's primary customers are organizations of all sizes that need to comply with data privacy regulations such as GDPR, CCPA, and other global privacy laws. This includes companies in industries such as finance, healthcare, retail, and technology.
Features
- Automated personal data discovery and classification using AI and machine learning
- Data inventory module to discover personal data across multiple systems in the cloud or on-premise
- Data Processing Inventory (ROPA) for managing all data processing activities within the organization
- Data Subject Request (DSR) module to streamline the process for managing and fulfilling data subject requests
- Assessment Automation module to manage DPIA and LIA in real-time
- Third Party Management module to centralize information about third parties and guide partners through vendor management processes
- Risk Management module to provide a high-level overview of risks associated with each processing activity
- Incident Management module to quickly respond, mitigate damage, and maintain compliance
- Data Removal Orchestration to automate personal data removal
- Integration with relational databases for precise identification of personal data