Commercial real estate teams manage hundreds or thousands of lease PDFs with inconsistent layouts—amendments stacked on originals, scanned signatures, and exhibit tables that basic OCR flattens into unusable text. Portfolio systems need structured fields: parties, premises, rent steps, options, and critical dates. Manual abstraction is expensive; generic summaries do not load into Yardi, MRI, or custom lease databases.
Define a JSON Schema that mirrors how your portfolio team already thinks about leases: landlord and tenant legal names, premises address object, lease term dates, base rent schedule array, percentage rent clauses, renewal options with notice windows, and TI allowances where applicable. PaperIQ applies multi-modal extraction so tables and exhibit layouts survive as structured data, then validates during generation where configured. Records that fail schema checks—missing commencement date, non-numeric rent in a required field—surface in the job UI before export rather than silently corrupting portfolio data. Related pillar: JSON Schema for Real-World Documents covers nested lease structures in depth.
• Landlord, tenant, and guarantor legal names • Premises address and rentable square footage • Commencement, expiration, and possession dates • Base rent schedule (period start/end, monthly amount, escalations) • Percentage rent and breakpoint thresholds • Renewal and termination options with notice periods • Security deposit and letter-of-credit references • Use restrictions and assignment/sublet clauses (when in scope) Schema enums can restrict property types or currencies; required arrays prevent empty rent schedules from passing validation.
Validated JSON exports to spreadsheets for analyst review or loads into portfolio databases via your ETL. When ready, MCP tools can create lease records, attach PDFs, or trigger abstractor QA queues—tenant-scoped with the security posture described on the Security page. For teams comparing IDP vendors, see PaperIQ vs Reducto or Azure Document Intelligence on layout-heavy lease packs; PaperIQ emphasizes BYO schema and MCP over prebuilt CRE templates alone.
1. Sample 15–25 leases across formats (digital PDF, scan, amended stack, foreign jurisdiction if applicable). 2. Workshop schema with asset management and IT—align field names to your system of record. 3. Measure schema pass rate and categorize failures (OCR edge, missing exhibit, ambiguous date). 4. Pilot export-only; add MCP write tools after finance signs off on field accuracy. Start free at registration; no credit card required on the public marketing site.
Does PaperIQ replace a dedicated lease abstraction service?
PaperIQ targets teams that want schema-controlled extraction and optional MCP automation in-house. Dedicated abstraction vendors may offer managed QA; PaperIQ emphasizes validated JSON and integration flexibility.
Can we handle lease amendments in the same schema?
Yes. Model amendments as nested objects or versioned records in your schema—PaperIQ extracts against the shape you define, including arrays for amendment history when configured.
How do we measure success on a lease pilot?
Track schema pass rate on your representative set, field-level error taxonomy, and time from PDF upload to portfolio-ready JSON—not generic OCR word error rate alone.