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
From $39/mo
Sourcegraph CodySourcegraph
Enterprise AI coding assistant with repo-wide context
Contact for pricing
AI trained for large law firms and enterprise legal teams
Contact for pricing
AI contract drafting and review inside Microsoft Word
Contact for pricing
Autonomous AI for accounts payable
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 is there no general assistant in this list?
Because the constraint is the collection. ChatGPT, Claude and Gemini all have enterprise tiers with data-handling commitments, and plenty of regulated teams use them — but none offers the air-gapped or playbook-grounded deployment these five are selected for. Bringing them in would make this a list of good tools rather than a list that answers the question.