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SLM-Works

Use case

Legal

Legal operations need speed and consistency without sending privileged or sensitive matter data through unmanaged external APIs.

Review volumes keep growing while expectations on turnaround and consistency tighten. Ad-hoc prompts in public chat tools create governance gaps and version chaos.

You need tooling that fits matter boundaries, retention rules, and access controls your firm or legal department already defines.

SLMs handle repetitive extraction and first-pass classification against your templates - playbooks, defined clause types, and house style - at a cost profile that scales with page volume.

Private LLMs help when documents are long, cross-referencing is heavy, or instructions need more flexible natural-language interpretation. Both can live in your environment; the question is which tier owns which step.

  • Keep human review on the critical path where your policy requires it.
  • Use orchestration when workflows span systems - see agent orchestration for multi-step patterns.

We build and run private language models and routing layers. Counsel remains responsible for final judgment and regulatory interpretation.

See how this maps to your stack and governance