Backplain vs Harvey AI: what's actually different.
Harvey gives legal teams a purpose-built legal AI. Backplain complements it: run the same prompt against Harvey-class workflows and 47 other models side by side, with a patent-pending AI Firewall in front of every call.
| Harvey AI | Backplain Business | |
|---|---|---|
| Per seat / month | ~$1,200–$2,000+ (enterprise, sales-quoted; not publicly listed — per AI Vortex, 2026) | $129 — flat, listed |
| Annual cost (10 seats) | ~$144,000–$240,000+ (derived from AI Vortex, 2026) | $15,480 |
| Minimum commitment | Multi-seat annual contract, sales-assisted | 10 seats — monthly or annual |
| Model coverage | Curated single-vendor legal stack | 47 models across 9 providers |
| Multi-model comparison | Single answer, single stack | Up to 10 models side by side in one prompt |
| AI Firewall | — | Yes (patent-pending) — PII redaction before any model sees the prompt |
| Custom PII filtering | — | Yes |
| Prompt-level audit logs | Workflow-level | Every prompt, every session, from seat one |
| Hosting flexibility | Vendor-hosted SaaS | SaaS → BYO cloud → bare metal — including a Tier 3 facility with SOC 1/2/3 Type II, ISO 27001, HITRUST, HIPAA, NIST 800-53 / 800-171 attestations for CMMC L2/L3 work |
| Compliance posture | SOC 2 Type II; ISO 27001; ISO 27701; ISO 42001; IRAP — no public HIPAA BAA, FedRAMP, or CMMC posture listed on Trust Center | SOC 2 Type II in progress (target Q3 2026); HIPAA BAA available on Enterprise; NIST 800-53 / 800-171 (CMMC L2 baseline) controls mapped; FedRAMP pursuing — not yet listed on the Marketplace |
| Best fit | Teams standardizing on a single legal-AI workflow | Teams that want to compare answers across vendors and keep one flat seat price |
Harvey is a strong, purpose-built legal AI product. If your team has standardized on it, you don't need to rip it out — and this page is not arguing that you should. The interesting question is what sits next to it.
Backplain's core workflow is the same one we offer everywhere else on this site: take a single prompt and run it across up to 10 models simultaneously — GPT-5.x, Claude Sonnet/Opus, Gemini 2.5, Llama 4, Mistral, and others — then compare the answers in one view. For legal teams using Harvey, that turns Backplain into a second-opinion engine. Draft the memo or the clause analysis in Harvey, then drop the same fact pattern into Backplain to see whether three frontier models agree, disagree, or surface a citation Harvey missed. Confidence in a single-vendor answer goes up materially when you can show your work against the rest of the market.
The other half is the AI Firewall. Every prompt that leaves Backplain passes through a patent-pending software-layer firewall with custom PII redaction before any model — Harvey-adjacent or otherwise — sees it. Combined with prompt-level audit logs from seat one and a flat $129/seat/mo with no token meter, Backplain fits cleanly alongside Harvey for the teams that want vendor-agnostic comparison and a hard compliance boundary, without giving up the legal-specific workflow they already pay for.
One more wrinkle for legal teams in regulated work: Harvey publishes a strong commercial compliance posture (SOC 2 Type II, ISO 27001/27701/42001, IRAP) but doesn't list HIPAA, FedRAMP, or CMMC. Backplain's roadmap is built the other direction — SOC 2 Type II in progress (Q3 2026), HIPAA BAA on Enterprise, NIST 800-53 / 800-171 controls mapped to the CMMC L2 baseline, and FedRAMP pursuing — and through Sovereign Compute we'll deploy on bare metal in a Tier 3 facility for matters that can't sit in shared SaaS. If your firm has a CMMC L2 client, defense work, or PHI in scope, that's the angle worth pricing in alongside Harvey's legal depth.
Pricing source: Harvey does not publish seat pricing. The $1,200–$2,000+/seat/month range is reported by AI Vortex, Harvey AI Pricing (2026) — Plans, Seat Cost & Real Contract Sizes, aivortex.io, based on market intelligence and firm disclosures. Other trackers report a similar floor (e.g. AIpedia: ~$1,000–$1,200/lawyer/month, Apr 2026).