Google's multimodal AI assistant with deep Google Workspace integration. Can analyze documents and answer questions about lease provisions, but lacks structured extraction output and CRE-specific intelligence.
Google Gemini - available as a standalone assistant and integrated into Google Workspace - is a capable AI tool for document analysis. Upload a lease PDF to Gemini Advanced and it can summarize provisions, answer questions about specific clauses, and produce helpful overviews. For teams already embedded in the Google ecosystem, it is a natural starting point.
But using Gemini for lease abstraction - extracting a consistent set of structured fields that can be imported into a property management system, compared across a portfolio, or audited for risk - exposes the same limitations as any general-purpose AI. Gemini has no fixed extraction schema, no per-field confidence scoring, no CRE-specific red flag detection, and no export pathway into real estate systems. Every extraction requires re-prompting, and output format varies unpredictably. Lextract is built specifically for the structured, repeatable workflow that portfolio management demands.
| Feature | Lextract | Google Gemini | Advantage |
|---|---|---|---|
| Output Structure | 126 fields in a fixed, typed schema - identical on every extraction | Free-form text responses; output format varies by prompt and session | Lextract |
| Multimodal Input | PDF upload with AWS Textract OCR for scanned documents, tables, and forms | Can process PDFs and images natively; limited OCR capability on scanned documents | Lextract |
| Confidence Scoring | Per-field confidence blending OCR and AI signals with cross-field validators | No confidence scoring mechanism | Lextract |
| Red Flag Detection | 20 automated CRE-specific rules at 3 severity levels | Can identify risks if prompted; not systematic or automatic | Lextract |
| Google Workspace Integration | Export to Excel, Word, PDF, JSON for import into any system | Native integration with Google Docs, Sheets, and Drive | Competitor |
| Multi-Pass Verification | 3-pass adversarial pipeline with hostile review and escalation | Single-pass response with no self-verification | Lextract |
| Scanned PDF Support | Enterprise-grade AWS Textract OCR with table and form extraction | Basic OCR through Google Vision; less reliable on complex lease layouts | Lextract |
| Cost per Lease | $10 per lease; $8.50/lease in 10-packs | Free tier available; Gemini Advanced $20/month (bundled with Google One AI Premium) | Tie |
| Output Consistency | Schema-enforced - identical fields, types, and structure every time | Output varies by prompt, session, and model version | Lextract |
| CRE Domain Knowledge | 500+ lines of commercial real estate extraction heuristics injected into every pass | General knowledge; no CRE-specific extraction logic | Lextract |
$10 for a single lease extraction. Volume pricing: $45 for 5 leases ($9 each) and $85 for 10 leases ($8.50 each). No subscription.
Free tier with usage limits. Gemini Advanced costs $20/month as part of Google One AI Premium, which includes 2TB storage and other Google services. No per-document pricing.
Gemini Advanced appears cost-effective at $20/month for unlimited conversations. However, using it for lease abstraction requires crafting extraction prompts for each lease, manually verifying and reformatting inconsistent output, and transferring data into your systems by hand. The labor cost per lease quickly exceeds Lextract's $10 flat rate - especially when abstracting multiple leases in a portfolio.
CRE professionals who need structured, repeatable lease extraction for portfolio management, due diligence, and PMS integration - where output consistency and confidence scoring are non-negotiable.
Quick document summaries and ad-hoc lease questions within the Google Workspace ecosystem. Useful for getting a general overview of a lease before detailed review, especially for teams that live in Google Docs.
Google Gemini is a strong general-purpose AI assistant, and its Workspace integration makes it convenient for teams already in the Google ecosystem. For ad-hoc questions - "Summarize the key terms in this lease" or "What are the renewal options?" - it works well.
For structured lease abstraction, Gemini has the same fundamental limitation as every general-purpose AI: it cannot guarantee consistent output across multiple leases. Every extraction requires new prompting, output formats vary, there is no confidence scoring, and there is no CRE-specific risk detection. Lextract delivers the same 126 fields in the same format every time, with per-field confidence scores, 20 red flag checks, and export formats ready for your property management system. Use Gemini for quick answers. Use Lextract when the data needs to be structured, auditable, and actionable.
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Upload a commercial lease PDF and get 126 structured fields extracted in under 3 minutes. $10 per lease, no subscription required.
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