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Private AI Appliance for Law Firms

Legal work is privileged by definition, which makes public AI APIs a poor fit. A private appliance runs a DocMatch-style evidence and document agent entirely inside the firm — search case files, link evidence with citations, and keep everything confidential.

Why on-prem for legal

Privileged material can't leave the firm. An on-prem appliance keeps documents, the vector index and the model all in-house, satisfying confidentiality and client expectations.

Sizing it

Retrieval over large document sets plus a capable model wants ~24–48GB of AI memory. A 48GB pro-GPU box or a high-memory machine handles a firm's matters with citations.

From search to workflow

Beyond search, the AI Business OS adds confirmations, audit logs and role-based access — essential for accuracy-sensitive legal work.

Featured chips

Recommended models

  1. 1
    DeepSeek-R1 671B (MoE)DeepSeek · ~671B · 128K ctx · MIT

    The full DeepSeek-R1, included to anchor the top of the reasoning tier. Only the distilled variants are realistic for single-box local deployment. Figures are placeholders.

  2. 2
    Llama 3.1 405BLlama · ~405B · 128K ctx · Llama Community License

    Frontier-scale open weights, listed to anchor the high end. Plan for a server cluster or rented cloud GPUs.

  3. 3
    Qwen3 235B-A22B (MoE)Qwen · ~235B · 128K ctx · Apache-2.0

    A frontier-class open MoE. Memory is bounded by total params; throughput benefits from sparse activation. Figures are placeholders — verify before planning hardware.

  4. 4
    Qwen2.5 72BQwen · ~72B · 128K ctx · Qwen License

    A top-tier open model for coding and reasoning; a strong backbone for a private Business Command Center.

  5. 5
    Llama 3.1 70BLlama · ~70B · 128K ctx · Llama Community License

    The previous-generation flagship; still excellent. Prefer Llama 3.3 70B where available for similar footprint and better instruction following.

Recommended hardware

Frequently asked questions

Can AI search legal evidence privately?+

Yes. A private RAG appliance indexes case files and answers with cited passages, with no document content leaving the firm's hardware.

What hardware does a law firm AI box need?+

Plan for 24–48GB of AI memory for retrieval over large document sets plus a capable model. A 48GB pro-GPU workstation is a strong fit.

Related guides

Turn this guide into a private AI Business OS

Run your own AI agents on hardware you control — private by design, no per-seat data leaving your premises. BrainOutput helps you pick the right machine and turn it into a working AI Business OS.

Explore the AI Business OS