The Hidden Risk: Why AI Threatens Attorney-Client Privilege
How the landmark United States v. Heppner ruling exposes critical vulnerabilities in legal AI adoption—and what attorneys must do to protect their clients
Deep dives into AI memory architecture, platform engineering, legal compliance, and security best practices from our team of experts.
How the landmark United States v. Heppner ruling exposes critical vulnerabilities in legal AI adoption—and what attorneys must do to protect their clients
AI memory systems force you to choose between local control OR cloud scale. Engram's Overflow Storage gives you both: keep 90% local with encrypted cloud overflow only when needed.
Vector embeddings consume massive storage, limiting AI memory capacity. Engram's TurboQuant compression achieves 6x storage reduction with 3-bit quantization while maintaining perfect recall accuracy.
HIPAA and GDPR compliance is impossible with cloud memory platforms that process your data externally. Learn why data sovereignty architecture is the only path to compliant AI systems.
AI agents storing duplicate memories wastes massive storage and slows retrieval. Learn how semantic deduplication at scale solves this problem while keeping your data local and secure.