Legal Firms CyberSecurity Awareness Training

Law firms are under constant pressure to maintain client confidentiality, protect privileged communications and meet strict deadlines.

Despite advances in email filtering and encryption, email, the profession's most commonly used tool, remains a significant source of risk. Phishing remains a key threat, though mis-sent emails, even accidentally, can still lead to data breaches, fines and loss of client trust.

With risks inherent in day-to-day communications, the stakes for law firms could not be higher:

40%

Nearly 40% of clients say they would fire or consider firing a firm that experienced a data breach

37%

Of clients say they would pay higher fees for firms that can demonstrate robust cybersecurity practices

69%

Of clients prefer secure portals for document sharing, highlighting the risk of relying on unsecured email

A Smarter Approach to Human Risk Management for law firms

Legacy security tools and static policies struggle to detect the nuanced, real-world behaviors that create ethical and regulatory risk. These traditional controls often fail to keep up with the complexity of modern legal practice.
Rather than relying on simple, rules-based solutions that struggle to maintain "ethical walls" and information barriers, KnowBe4’s HRM+ offers a proactive approach that helps prevent mistakes and fortifies user behavior against the latest cybersecurity threats. HRM+ continuously monitors for risky behavior, detects potential ethical violations and enforces adaptive controls in real time.

With HRM+, legal organizations can leverage advanced protection designed for sensitive data flows and improving security culture:

AI-powered Learning and simulated phishing empowers law firms to create an adaptive human risk management framework that evolves
Targeted Real-Time Coaching ensures users are informed of risky behavior the moment it occurs
Contextual Machine Learning detects when users are about to send an email or attachment to the wrong recipient, based on data-sharing patterns
Behavioral Analysis flags risky user actions, such as attaching confidential case files or privileged case materials to emails
Recipient Anomaly Detection prevents data leakage by warning users when a file is going to a previously unknown recipient or domain
Intentional DLP for Email helps prevent both accidental and intentional breaches of sensitive client information