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Abnormal for the Legal Industry

Discover the AI-based email security platform that protects law firms from the full spectrum of email attacks.

Principais insights

Legacy email security tools are less effective as law firms migrate to cloud, since they were designed for on-premises environments.

A single successful email attack on a law firm can result in data exposure, financial losses, legal liability, and reputational damage.

Abnormal integrates with Microsoft 365 and Google Workspace in minutes, using thousands of signals across identity, behavior, and content.

Abnormal detects threats within ongoing conversations, catching attacks that traditional secure email gateways miss.

Outdated Security Endangers Data, Funds, and Trust

Law firms must safeguard sensitive client information, their own financial and operational data, and their reputations. Criminals target legal organizations for this data, launching increasingly sophisticated email attacks that are difficult to detect. A single successful attack can cause data exposure, financial losses, legal liability, and erosion of trust.

Outdated Security Endangers Data, Funds, and Trust

Firms with legacy security tools face heightened risk from modern email attacks designed to evade them. As law offices move data and processes to the cloud, these solutions become even less effective because they’re designed for on-premises email rather than cloud environments.

Modern Security to Protect Law Firms from Advanced Threats

Abnormal’s cloud-native solution integrates with Microsoft 365 and Google Workspace in minutes and uses thousands of signals across identity, behavior, and content to separate legitimate messages from dangerous threats. Because Abnormal recognizes anomalies even in ongoing conversations, it immediately detects and remediates threats that secure email gateways miss.

Discover more about Abnormal for the legal industry.

Abnormal for the Legal Industry

See Abnormal in Action

See how behavioral AI detects the attacks that legacy defenses miss.