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Security and trust

Security, privacy, and AI safeguards for legal teams

Review how Lawty supports legal confidentiality with account-scoped boundaries, encrypted data handling, privacy documentation, and restrained AI assistance.

Account-scoped boundaries Encrypted at rest and in transit Responsible AI handling

Security posture

The homepage trust claims, with more context

This page explains how the security and compliance signals referenced across the site map to Lawty's product and operating approach.

SOC 2 Type II aligned

Lawty's control posture is designed to support rigorous expectations around access management, change control, monitoring, and operational review.

The positioning is alignment-oriented: it describes control design and operating intent without overstating formal certification status.

End-to-end encryption

Lawty protects data across communication and storage layers so sensitive legal information is not handled in plaintext during normal platform operations.

Homepage messaging focuses on encrypted handling in transit and at rest; this page makes that protection model explicit instead of leaving it as a slogan.

Data residency controls

Regional handling and governance requirements can be addressed through deployment and operational scoping decisions during customer review.

This matters for firms with client instructions, jurisdictional restrictions, or internal policies about where legal data may be processed or stored.

GDPR and CCPA ready

Lawty pairs product controls with privacy documentation, customer data terms, and process design intended to support modern regulatory obligations.

The emphasis is readiness and operational support for customer compliance programs, not a claim that software alone satisfies a firm's legal obligations.

Operational controls

Controls designed for multi-workspace legal environments

Legal buyers typically want to understand how product boundaries work day to day, not just what standards appear in marketing copy.

Account-scoped data boundaries

Workspace data is kept within account context to reduce accidental cross-account exposure between firms, teams, and matters.

Structured access patterns

Documents, communications, contacts, calendar items, matters, and assistant workflows are organized through explicit product boundaries instead of informal sharing paths.

Audit-ready controls

Operational controls are intended to support internal review, customer diligence, and clearer accountability around how access and workflow actions are governed.

Zero-trust architecture

Lawty favors narrow trust assumptions: authenticated context, explicit permissions, and account boundaries matter more than broad implicit access.

AI safeguards

AI assistance with restraint

Mike is designed to help lawyers work faster without weakening confidentiality expectations or replacing professional judgment.

Lawyer oversight remains essential

Mike supports drafting, editing, retrieval, and issue spotting, but lawyers remain responsible for review, legal analysis, and final decisions.

Customer content is not used for generalized model training

Lawty does not use customer content or data obtained from third-party integrations to train generalized AI models unless explicitly stated otherwise.

Bounded retrieval and tool scope

Assistant retrieval is structured through account-scoped tools and bounded result sizes to reduce unnecessary data exposure and keep responses tied to the right workspace context.

Need a deeper security review for your firm?

If your procurement process requires privacy terms, data handling discussion, or security alignment review, contact Lawty and we can continue the conversation directly.