Building Secure Agentic AI for Legal Work with Meta

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Source: Vecflow

Vecflow is transforming the legal industry with Oliver, a cutting-edge AI agent designed for legal research, contract review, and drafting. Built with Meta’s Llama 3.1 405B model, Vecflow’s system connects with firms’ existing databases and workflows to automate repetitive review and first drafts. Knowing a firms’ stringent data security and protection requirements, Vecflow implemented enterprise-grade security protocols that maintain client confidentiality throughout the AI processing pipeline. Llama models enable Oliver to provide deep legal expertise while exceeding industry standards for security and privacy.

Oliver was built with security from day one through Vecflow’s choice of open source AI giving ultimate control over encryption and data tenancy requirements. This ensures client confidentiality remains intact, even when handling high-stakes legal information. Oliver is continually fine-tuned and the architecture changes to meet the evolving needs of the legal sector, empowering firms to focus on strategy and outcomes while Oliver manages firm knowledge and drafting, setting a new standard for efficiency and security in the legal profession.

One of Vecflow’s most significant innovations is the development of highly specialized LLM-based agents tailored to the needs of lawyers. These agents leverage Llama models to perform complex reasoning tasks like contract drafting, data extraction, and redlining with remarkable efficiency. Unlike closed-source models, Llama offers Vecflow total control over how the model is deployed and fine-tuned, enabling the creation of bespoke solutions for specific firms. By hosting the model infrastructure directly within a firm’s Virtual Private Cloud or on-premises environment, Vecflow ensures that all data remains within the organization’s walls, never leaving the security perimeter. This setup gives clients confidence to include sensitive data in their workflows, allowing them to reach draft quality outputs faster.

Llama’s open-source framework also makes it an excellent fit for building domain-specific AI agents. Its combination of security and cost-effective inference allows Vecflow to deploy high-performing models without relying on external infrastructure. Benchmark studies (including Vals) have demonstrated Llama 3.1’s superiority over competing models in legal reasoning tasks, making it a clear choice for Vecflow’s mission of delivering accurate and secure AI-driven solutions. With this approach, Vecflow sets a new standard for how AI can transform professional services.

Read the full article: https://www.vecflow.ai/news/secure-llms-meta

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