AI Tools for Regulated Industries

One constraint shared across law, finance and security-conscious engineering: the data cannot leave a controlled, auditable path.

Air-gapped coding, legal work grounded in a firm's own playbooks, and accounts payable with a trail.

All sold as enterprise contracts, none self-serve.

Last reviewed

  • TabnineTabnine

    Privacy-focused AI code completion for enterprise teams

    CodemacOS, Windows, Self-hosted

    From $39/mo

  • Sourcegraph CodySourcegraph

    Enterprise AI coding assistant with repo-wide context

    CodeWeb, Self-hosted, macOS, Windows

    Contact for pricing

  • Harvey

    AI trained for large law firms and enterprise legal teams

    LegalWeb

    Contact for pricing

  • Spellbook

    AI contract drafting and review inside Microsoft Word

    LegalWeb, Windows, macOS

    Contact for pricing

  • Vic.ai

    Autonomous AI for accounts payable

    FinanceWeb

    Contact for pricing

Questions about this stack

Does self-hosted actually mean nothing leaves our network?

With Tabnine and Sourcegraph Cody it can, and that is why they are here rather than better-known assistants — both offer genuine air-gapped deployments. Harvey, Spellbook and Vic.ai are not self-hosted; what they offer is a contractual and audit posture around your data rather than physical isolation. If your requirement is literal air-gap, only the first two qualify.

Harvey or Spellbook for a legal team?

Size decides it. Harvey is built around a large firm's own precedent and is priced as an enterprise contract to match. Spellbook lives in Word and is aimed at in-house teams and smaller firms doing contract review against a playbook. A five-person legal department will get further with Spellbook; a firm with its own knowledge management function will not.

Why are general public chatbots absent in this list?

Because the constraint is the collection. Regulated teams require air-gapped or playbook-grounded deployment with strict data-handling commitments.