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Privacy First: Anonymisation Before AI Processing

Before our AI models even begin processing your documents for review or drafting, we anonymise any sensitive data in your legal and financial documents. This pre-emptive step guarantees maximum privacy and security. Client documents are never used for training purposes. Your privacy is always our top priority.
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Our Commitment to Data Anonymisation

Every document uploaded, regardless of its entry point - be it Review, Drafting, Discovery or Training - is immediately anonymised. This underlines our commitment to privacy, which is applied consistently across all our features. This process, which takes just seconds, replaces sensitive data with pseudonyms, enabling our AI Copilot to accurately interpret the roles and relationships of the parties involved without compromising privacy.

This capability extends beyond internal processing; all documents are available for download in their anonymised format. This also allows for the secure storage of sensitive case documents without the risk of exposure.
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Setting the global standard for responsible Legal AI with unrivalled security, as the only AI that can guarantee client data never leaves the premises

Enterprise ready

Enterprise Grade Security

Our platform and infrastructure are in compliance with the privacy and security practices of GDPR, ISO27001 and SOC2.

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Enterprise-Grade Privacy

On-Premise Anonymisation

LegalFly’s on-premises anonymisation provides unparalleled data protection for organisations with even stricter privacy standards. This solution fits effortlessly into your infrastructure, whether on-premises or in a private cloud, and provides robust compliance with your data privacy policies.

Data is processed on secure, air-gapped infrastructure, ensuring that sensitive information is anonymised in a completely isolated environment and never leaves the premises.

Why Anonymise Before Using Legal AI?

Preventing Misuse

There’s a real risk that AI will use non-anonymised data for training, potentially leading to the inadvertent reproduction of sensitive information in future interactions with different clients. This could result in the leakage of confidential data across unrelated cases or clients, posing a significant security risk.

Enhanced Privacy

Anonymisation protects sensitive information in legal documents, preventing unauthorised access and maintaining client confidentiality. The risk of exposing confidential data is significantly reduced, preventing potential breaches that could have serious consequences.

Regulatory Compliance

Anonymisation is a proactive step towards compliance with strict data protection laws, such as GDPR and CCPA. Failure to anonymise can result in to severe legal and financial consequences, making compliance a non-negotiable aspect of Legal AI use.

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