Why Law Firms Are Moving to Private On-Premises LLM Deployments
Explore the shift from cloud AI to sovereign, on-premises solutions — driven by client confidentiality, ethics rules, and the need for full data control in high-stakes legal practice.
EdgeLex AI Blog
Insights on private legal AI, on-premises deployments, compliance, and the future of sovereign intelligence for law firms.
Fine-Tuning Open-Source LLMs on Legal Data: Privacy and Compliance Guide
Step-by-step strategies for fine-tuning models like EdgelexLM on firm precedents while ensuring data sovereignty, privilege protection, and regulatory compliance.
Building the Optimal Hybrid LLM Stack for Legal Workflows
Why combining legal-specialized models (EdgelexLM) with general-purpose powerhouses (Mistral, Qwen, DeepSeek, Llama) delivers the best accuracy and versatility — all locally.
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Eliminating Hallucinations in Legal AI: RAG with Private Firm Data
How retrieval-augmented generation over your internal knowledge base grounds AI outputs in facts — reducing errors and building trust in privileged matters.
The Real Cost Savings of On-Premises Legal AI vs. Cloud Subscriptions
Breakdown of TCO: eliminate per-token fees, reduce long-term expenses, and turn your historical work product into a perpetual asset with private deployments.
The Future of Sovereign AI in Law Firms: Compliance, Control, and Innovation
As regulations evolve, sovereign private AI becomes essential — enabling law firms to innovate faster while meeting ethics, privilege, and data residency requirements.