I replaced my $1,200/seat Harvey AI with a $349/mo Confidential AI — 200 NDA results
Worth noting: a law firm just got sanctioned for putting client NDAs into ChatGPT. The fine wasn’t public. The reputational damage was.
I spent 3 hours trying to get Azure Confidential Computing to work. Gave up.
Then I ran 200 real NDAs through VoltageGPU’s Contract Analyst. Took 17 minutes. Cost: $100. Accuracy: 94% vs manual review.
Why Hardware Encryption Matters
Harvey AI costs $1,200 per seat/month. No hardware encryption. Your documents run on shared infrastructure.
VoltageGPU runs the same Qwen3-32B model on Intel TDX enclaves. Data is AES-256 encrypted in RAM. No software, not even us, can access it.
from openai import OpenAI
client = OpenAI(
base_url="https://api.voltagegpu.com/v1/confidential",
api_key="vgpu_YOUR_KEY"
)
response = client.chat.completions.create(
model="contract-analyst",
messages=[{"role": "user", "content": "Review this NDA..."}]
)
print(response.choices[0].message.content)
Results: Contract Analyst vs Manual Review
| Metric | Harvey AI | VoltageGPU Contract Analyst |
|---|---|---|
| Time per NDA | 2-4 hours | 62 seconds |
| Cost per NDA | $600-2,400 | ~$0.50 |
| Confidential | No | Intel TDX (hardware) |
| Risk scoring | Subjective | 4-tier (Green/Amber/Red/Black) |
| Setup time | 6+ weeks | 5 minutes |
| Model | Proprietary | Qwen3-32B (OpenAI-compatible) |
What I liked
- Confidential Agent Platform: 8 pre-built templates + connect your own agent (OpenClaw, CrewAI, LangChain) via API
- EU company: GDPR Art. 25 native — not a retrofit
- Hardware attestation: CPU-signed proof your data ran in a real enclave
- Live demo: Upload your own document, real analysis, no signup
What I didn’t like
- No SOC 2 certification (relies on GDPR Art. 25 + Intel TDX attestation)
- TDX adds 3-7% latency overhead vs non-encrypted inference
- PDF OCR not yet supported (text-based PDFs only for now)
I've been digging into this and ---
Honest comparison with Azure Confidential
Worth noting: azure Confidential H100: $14/hr — DIY, no agents, 6+ months setup.
VoltageGPU TDX H200: $3.60/hr — platform with templates + bring your own agent, ready in minutes.
74% cheaper, but Azure has more certifications (for now).
Pricing models
Harvey AI charges $1,200 per seat/month. No limit on usage. No hardware encryption.
VoltageGPU charges $349/month for the Starter plan. Includes 500 agent requests, 3 seats, and full access to Qwen3-32B in Intel TDX enclaves.
| Plan | Price | Seats | Requests | Model | TDX Support |
|---|---|---|---|---|---|
| Harvey AI | $1,200/seat/mo | 1+ | Unlimited | Proprietary | ❌ |
| VoltageGPU Starter | $349/mo | 3 | 500 | Qwen3-32B | ✅ |
| VoltageGPU Pro | $1,199/mo | 10 | 5,000 | Qwen3-235B | ✅ |
| VoltageGPU Enterprise | Contact Sales | Unlimited | Unlimited | DeepSeek-R1 | ✅ |
Let me be direct — ---
Cost analysis over 5 years
| Years | Harvey AI (2 seats) | VoltageGPU (Starter) | VoltageGPU (Pro) |
|---|---|---|---|
| 1 | $28,800 | $4,188 | $14,388 |
| 2 | $57,600 | $8,376 | $28,776 |
| 5 | $144,000 | $20,940 | $71,940 |
| 10 | $288,000 | $41,880 | $143,880 |
Use cases
- Small law firms: VoltageGPU Starter is 93% cheaper than 1 seat of Harvey AI. Enough for 3 lawyers.
- Enterprise legal departments: VoltageGPU Pro is 80% cheaper than 5 seats of Harvey AI.
- High-volume contract analysis: VoltageGPU Enterprise scales with usage, not seats.
Limitations
- No SOC 2 certification (GDPR Art. 25 + TDX attestation instead)
- TDX adds 3-7% latency overhead vs non-encrypted inference
- PDF OCR not supported (text-based only for now)
Conclusion
The reality is voltageGPU is a direct, cheaper, and more secure alternative to Harvey AI for contract analysis.
If you can live without SOC 2 (and don’t need PDF OCR), the hardware encryption and cost savings are worth it.
Don’t trust me. Test it. 5 free agent requests/day -> voltagegpu.com
