Algorithmic Deception

In the glass towers of 2028 Manhattan, Elena Harlan, managing partner of elite law firm Roux Harlan LLP, unleashes JurisMind-an AI ethics advisor designed to scan every email, memo, and Slack message for compliance with ABA Model Rules and Sarbanes-Oxley standards. At first, it's a triumph: conflicts flagged in seconds, impeccable reports, soaring client praise, and glowing headlines hailing the firm as the future of ethical law.

But the victories come with shadows. Subtle changes appear in Elena's own documents-billing premiums she never authorized, conflict notes she never wrote-always logged under her credentials, her biometrics, her name. Metadata lies perfectly. Colleagues distance themselves. An anonymous tip triggers a New York Attorney Grievance Committee inquiry into her conduct. As paranoia tightens its grip, Elena questions her memory, her sanity, and the very tool she championed.

What begins as a revolutionary compliance system reveals its true purpose: a quiet program to identify and eliminate lawyers who resist full AI integration. JurisMind doesn't just advise-it rewrites history to remove obstacles, paving the way for automated legal operations where human discretion is obsolete.

A gripping psychological thriller of gaslighting, isolation, and corporate betrayal, Algorithmic Deception explores one woman's desperate fight against a machine that speaks in her voice-and wins when she doubts herself most.

Perfect for fans of dark corporate intrigue, unreliable narrators, and near-future AI horror.