LAW.co Podcast

Before your firm buys a single GPU, the hardware sizing decisions you make will determine the real economics, latency, and data-residency posture of your private legal AI deployment. This episode delivers a concrete framework for getting those decisions right.

Show Notes

Hardware is the layer that most law firm AI conversations skip — and the one where the biggest mistakes get made. This episode of Law.co cuts through vendor-supplied reference architectures to offer a practical sizing framework that legal IT teams and firm leadership can actually use when evaluating private AI infrastructure. Drawing on the hardware stack sizing guide for private legal AI, the episode walks through how to arrive at a defensible hardware specification before a single RFP goes out.

The framework is built around three firm-specific inputs — document volume, peak concurrency, and data-residency obligations — and then maps those inputs to concrete hardware decisions. Here's what the episode covers:

  • Start from caseload, not a GPU catalog. Weekly document throughput through retrieval and generation, peak concurrent attorney and paralegal sessions, and jurisdictional residency requirements are the three numbers that drive every downstream hardware choice.
  • GPU memory is the binding constraint, not raw compute. The episode explains a practical VRAM planning rule — roughly half a gigabyte per billion parameters at 4-bit quantization, doubling at FP16 precision — and walks through when H100-class versus H200-class accelerators make sense for firms supporting 50–100 concurrent sessions on a 70-billion-parameter model.
  • The host stack matters as much as the GPU. Undersized CPU cores, insufficient DDR5 system RAM, and poorly tiered NVMe storage can bottleneck a deployment well below its spec-sheet performance, especially once vector indices and document stores are factored in. Legal RAG systems in particular place real demands on storage architecture that a GPU-only spec will miss.
  • Data retention is an architecture decision, not just a policy. The episode explains why disciplined tiering of hot, warm, and cold storage — aligned with matter retention schedules — keeps the audit surface honest and prevents privileged material from accumulating silently.
  • Key custody and confidential computing set the security baseline. For firms serving regulated clients, the combination of FIPS 140-3 Level 3 HSMs and GPU-level trusted execution environments (available on NVIDIA Hopper and Blackwell) is now the defensible floor for legal AI cybersecurity — with independent benchmarks showing under seven percent inference overhead.
  • Rack power is the constraint most colocation contracts didn't anticipate. Rising data-center rack density through 2025 and 2026 means firms need to audit their colocation agreements before next-generation accelerator platforms arrive.

For more on running complex AI workloads across coordinated agent chains — a natural next step once your hardware foundation is in place — the episode Concurrency Control in Parallel Legal Agent Chains is essential listening. The full sizing framework and supporting detail behind today's episode are available in the source article linked above.

Law.co

What is LAW.co Podcast?

Legal AI for lawyers and the firms they run. Where AI genuinely helps in research, drafting and review, what privilege and confidentiality actually require of a tool, how to evaluate legal software honestly, and the operational side of running a practice.

Each episode takes one question a practitioner is facing — whether to let a tool touch client data, how to verify AI-assisted research, what to change about billing when work gets faster — and works it through. Written for practising lawyers and firm administrators, not for legal futurism. Five or six minutes an episode.

Topics include AI-assisted research and verification, drafting and review workflows, privilege and confidentiality requirements for tools, evaluating legal software honestly, billing when work gets faster, matter management, and firm operations.

Produced by Law.co, legal AI for lawyers and law firms. Full details, services and further reading at https://law.co