Pricing Research
Lease Extraction Pricing Comparison (2026)
This comparison uses publicly listed prices as of February 14, 2026. It separates per-lease services from API-first build costs so you can model both buy and build paths.
Looking for product pricing first? See LeaseParse pricing.
Per-Lease Service Pricing
| Option | Public List Price | Turnaround | 100-Lease Example | Source |
|---|---|---|---|---|
| LeaseParse | $7–$15 per lease | < 3 minutes | $700–$1,500 for 100 leases | LeaseParse pricing |
| Prophia Abstract | From $20/lease (AI-only) | 5–10 minutes | $2,000+ for 100 leases | Prophia pricing |
| LeaseWizard | $20/lease or $350–$750/mo | < 1 minute | $2,000 for 100 leases (pay-per-use) | LeaseWizard pricing |
| LeaseLens | $25/export (free to view) | ~5 minutes | $2,500 for 100 leases | LeaseLens |
| Fiverr freelancers | $20–$50+ per lease | 2–3 days | $2,000–$5,000 for 100 leases | Fiverr lease abstraction |
| Attorney / paralegal review | $400–$3,000+ per lease | 3–7 business days | $40,000–$300,000 for 100 leases | ContractsCounsel |
Document AI Extraction Layer (API Pricing)
| Option | Public Unit Price | 120-Page Lease Example | Source |
|---|---|---|---|
| Google Document AI (Custom Extractor) | $30 per 1,000 pages | Approx. $3.60 for a 120-page lease | Google Document AI pricing |
| Amazon Textract (Forms + Tables) | $0.050 + $0.015 per page (first 1M pages) | Approx. $7.80 for a 120-page lease | AWS Textract pricing |
These estimates cover extraction-layer compute only. They do not include schema mapping, QA workflows, exception handling, or data operations.
LLM Structuring Layer (Optional)
| Model | Public Token Price | Illustrative Lease Cost | Source |
|---|---|---|---|
| OpenAI GPT-5 mini | $0.250 input / $2.000 output per 1M tokens | Approx. $0.07 per lease at 150k input + 15k output tokens | OpenAI API pricing |
| Anthropic Claude Sonnet 4 | $3 input / $15 output per 1M tokens | Approx. $0.68 per lease at 150k input + 15k output tokens | Anthropic pricing |
LLM costs are highly sensitive to prompt design, context windowing, and output verbosity. Use these values as directional, not contractual.
Methodology Notes
- All numbers are from publicly visible pricing pages on February 14, 2026.
- Cost examples assume a 120-page lease for page-based tools.
- LLM examples assume 150k input and 15k output tokens per lease.
- Enterprise discounts, minimum commitments, and support tiers are excluded.
Bottom Line
Raw AI infrastructure is often cheaper per lease than managed abstraction services, but the workflow around extraction quality is where most implementation cost appears. Teams comparing options should model both per-document cost and ongoing operating burden before deciding to build in-house.