Compare / Streamline AI
Sandstone vs Streamline AI: Two Systems for Running In-House Legal
Streamline AI began as legal intake and matter triage and has expanded into a platform connecting intake, workflows, contracts, and collaboration. Sandstone is solving the same shape of problem from a different starting point: business context first, with contract execution and permissions mapped across your systems built in.
Sandstone vs Streamline AI
| Capability | Sandstone |  Streamline AI |
|---|---|---|
| Primary focus | AI-native operating system for in-house legal work | In-house legal platform spanning intake, workflows, contracts, and collaboration |
| Origin | Built around legal context: counterparties, relationships, and prior decisions | Built around intake, triage, and operational visibility |
| Intake | Structured intake from Slack, email, and business systems, in whatever form requests arrive | Requests via the platform, email, Slack, or Salesforce, with AI reading unstructured email |
| Triage | Agents interpret intent and route by expertise and capacity, with context attached | AI classification and routing based on request type and priority |
| Business context | Counterparty history, prior decisions, and relationships mapped into a knowledge base that compounds | Structured request and matter data |
| How workflows are built | Built step by step, with approval gates at each one | Configurable workflows and orchestrated AI agents |
| Contract execution | Drafting, redlining, approvals, and native e-signature in the same system | Contracts connected within the platform |
| Permissions across systems | Permissions mapped across every connected integration | Platform permissions |
| Internal collaboration | Legal works a request together in the app or the plugins, with comments and drafts staying behind the scenes until you choose otherwise | Shared matter view |
| Acting back in source systems | Replies and actions go back to Slack, procurement, and contract systems under a shared team identity, with permissions mapped across those integrations centrally | Integrations with email, Slack, and Salesforce |
| Reporting | Cycle time, risk exposure, capacity, and deviation rates | Turnaround time, request volume, and legal KPI dashboards |
| Best fit for | Teams that want context, execution, and system of record in one platform | Teams whose primary pain is unstructured inbound work with no queue visibility |
Based on publicly available information as of September 2026. Names and trademarks belong to their respective owners. If anything here is inaccurate or out of date, contact us and we'll update it.
Frequently asked questions
If queue visibility is genuinely the whole problem, a focused intake platform will solve it and we'll say so. Sandstone earns its place when you also need the work executed — drafted, redlined, approved, signed — and the context carried between requests rather than reset each time.
A matter record captures what the request was. Sandstone maps who the counterparty is, what was agreed with them before, which prior decisions bear on this one, and how similar questions were resolved — so the second request of a kind starts from the first rather than from scratch.
Yes — drafting, redlining, approvals, and native e-signature in the same system the request arrived in, with contracts connected to the matters and counterparties they belong to.
It can, and whether it should depends on where you are. Replacing makes sense when the CLM is functioning mainly as a repository with approvals, adoption outside legal is thin, and you'd rather run one system. Running alongside makes sense when there's deep post-signature obligation management across a large legacy portfolio, when procurement or finance operate inside the CLM too, or when you're mid-term on a multi-year agreement. We'll tell you which one you are on a call, including when the answer is that you should keep what you have.
