Harvey is the best-known AI platform built specifically for legal work — which makes it a vertical specialist, distinct from osFoundry, a general “Hybrid AI Orchestration Platform.” Here’s a factual look for a US business, with sources cited. (dgm implements osFoundry, a separate company’s platform — we are not osFoundry.)
At a glance
| osFoundry | Harvey AI | |
|---|---|---|
| Core focus | Orchestration: agents, automations, apps | Legal / professional-services AI |
| Scope | Any business function | Vertical (legal) |
| Models | Bring your own, any provider | Model-agnostic (auto-route, since 2025) |
| Pricing | Via dgm: $399 / $3,999/mo (public) | Enterprise-only; not public |
| Best fit | Broad orchestration + consolidation | Law firms / in-house legal |
What Harvey is
Harvey is a vertical AI platform for legal and professional services — domain-specific generative AI for law firms and in-house legal teams. Its suite spans legal research, document analysis (Vault), drafting (Assistant), and legal-workflow agents, and it’s adopted across a large share of major US law firms. Its strength is deep legal-domain specialization.
osFoundry is the opposite kind of tool: a general orchestration layer for agents, automations, and apps across any business function, with the explicit goal of consolidating overlapping SaaS.
Models
Both are model-agnostic. Importantly, Harvey became model-agnostic in May 2025 — it now offers OpenAI, Anthropic, and Google models (via AWS Bedrock and Google Vertex) with auto-routing to the best model per task, so the older “powered by OpenAI only” framing is outdated. osFoundry is likewise model-agnostic at the orchestration layer. Model flexibility is common ground.
Security and data
Harvey publishes a strong compliance posture (SOC 2 Type II, ISO certifications) appropriate to legal work. With osFoundry, dgm confirms the equivalent controls against your requirements during the integration assessment. For a law firm, Harvey’s domain-tuned posture is a plus; for a general business, osFoundry’s assessment-based approach fits the broader use case.
Pricing
Harvey is enterprise-only and not publicly priced; any figures circulating online are third-party estimates, so budget a sales cycle. dgm’s osFoundry engagement pricing is fixed and public instead: $399 assessment and $3,999/month integration, with no per-seat fees.
Legal specialist vs general orchestration
The core difference is breadth. Harvey is a vertical specialist — purpose-built for legal work, with domain depth a generalist can’t match in that lane. osFoundry is a generalist orchestration layer for any function, targeting SaaS consolidation. If your need is specifically legal AI, Harvey is the more specialized fit; if it’s broad orchestration across functions, osFoundry fits better. (A firm could even use Harvey for legal work and osFoundry to orchestrate the rest of its operations.)
Who each is best for
Harvey is the stronger choice if your need is specifically legal AI for a law firm or in-house legal team. osFoundry is the stronger choice if you want broad, cross-function orchestration and SaaS consolidation.
Which should a US company choose?
If legal AI is your precise need, Harvey is the leading specialist. If broad orchestration across functions matters more, then osFoundry is the more direct fit. dgm assesses your goals, recommends the right path for a US business, and implements it end to end.