NEx4

The lease, structured.

Generative AI built for real estate leases. Not a generic LLM with a real estate wrapper. Trained on thousands of leases, tuned for 83 provisions, validated by humans before anything reaches your team.

400+

Data Points

Links to documents for verification

Why NEx4

Lease abstraction is too important for generic AI.

NEx4 is purpose-built. Trained on real leases, tuned for real provisions, reviewed by real people. Not a generic LLM with a real estate prompt layered on top.

What generic AI does

General text. Not leases.

– Generic LLM with a real-estate prompt
– One-size-fits-all extraction templates
– Confidence scores you can’t audit
– No human checkpoint before delivery
– Hallucinated data when leases get complex

What NEx4 does

Purpose-built for leases.

– Custom LLM (DeBERTa) trained on real leases
– 83 provisions with per-clause logic
– Per-field confidence scoring & audit trail
– Human review on every output
– Edge cases escalated, never guessed

The complete lease abstraction platform

Why NEx4 reads leases better.

Capabilities that compound. Each one would be useful on its own. Together, they’re why NEx4 lands abstractions in hours instead of weeks.

Domain-Specific LLM

Built on DeBERTa. Trained on real leases.

Not a wrapper around GPT or Claude. NEx4 is a custom-trained LLM using the DeBERTa architecture, fine-tuned on thousands of real estate leases across asset classes and geographies.

Human in the Loop

Every output validated by a person who knows leases.

The largest specialized real estate QA team in the industry reviews every single abstraction. AI proposes — humans confirm. Edge cases escalate to senior reviewers.

Granular

83 provisions, every clause

From rent to co-tenancy to indemnity — extracted clause by clause, each with a confidence score.

Auditable

Per-field confidence

Every data point carries a score. Every score is auditable, end to end.

Fast

Hours, not weeks

Standard leases deliver in hours, not weeks — document submission to validated, structured data.

Process flow chart

What happens to a lease document?

Ingest.

Stage One

SYSTEM

Document Submission

Lease PDF (any size, language, or structure) uploaded into the secure NEx4 platform. Multi-document leases auto-grouped.

Extract.

Stage Two

OCR Extraction

AI-powered OCR pulls every word from every page — scanned PDFs, signatures, rotated layouts. Output is searchable, structured text.

Verify.

Stage Three

SYSTEM

Document QC

Automated checks: missing pages, duplicate uploads, illegible scans, language detection. Failures flagged for human review.

Annotate.

Stage Four

AI · LLM

LLM-Powered Annotations

Proprietary LLM (DeBERTa) identifies and tags 83 lease provisions: rent, term, options, exclusives, co-tenancy, indemnity. Each annotation reviewed to prevent hallucinations.

Structure.

Stage Five

Auto Abstraction

400+ data points extracted and structured into your target schema (Yardi, MRI, JD Edwards, Argus, custom). Cross-references resolve automatically.

Validate.

Stage Six

HUMAN

Human-in-the-Loop Review

Real estate–trained reviewers validate every AI-generated annotation. Low-confidence flags get extra scrutiny. The largest QA team in the industry.

Approve.

Stage Seven

HUMAN · EXPERT

Senior Expert Review

Complex clauses, edge cases, and high-value leases get a final pass from senior real estate specialists. Anything ambiguous is escalated, never guessed.

Reconcile.

Stage Eight

SYSTEM

Business Rules Validation

Hundreds of automated rules check internal consistency: do dates align, do escalations sum, are required fields complete? Failures route back to review.

Score.

Stage Nine

SYSTEM

Final Quality Score

Business validations cross-check every AI response across all 400+ data points. Below threshold loops back; above is certified for export.

Deliver.

Stage Ten

SYSTEM

Export to Your Systems

Direct push to your ERP, lease accounting platform, or BI tool via open APIs. Excel, CSV, JSON, or XML — any format. Audit trail preserved end-to-end.

Core strengths

Full lease mastery

Battle-tested intelligence

Industry-spanning

Traceable precision

Unrivalled speed and accuracy

Human plus AI synergy

Analytics revolution

Where NEx4 Excels

A few examples of the nuance it handles.

Rentable Area Amendments

Abstracts the revised premises area from the latest amendments rather than the original area stated in the base lease.

Conditional Date Intelligence

Understands document hierarchy for accurate date abstraction — prioritizing commencement letters with definitive dates over conditional language in base agreements.

Complex Rent Streams

Handles complex rent streams by parsing base and renewal rent periods from a rent schedule and from multiple documents.

TI Allowance Tracking

Maintains complete audit trails through amendments — recording both original and amended TI values with proper attribution and dates for historical context.

Intelligent Data Completion

Derives missing information using contextual analysis — for example, determining a zip code automatically based on the city, state, and country data present in the documents.

Prorated Rent Calculation

Derives accurate rent streams from lease year definitions, including calculating prorated rent for partial months.

Where it goes

Direct to your stack.

NEx4 doesn’t replace your systems. It feeds them — open APIs into the platforms you already use.

Yardi

MRI

JD Edwards

Argus

Oracle

SAP

REmaap

The real estate operating platform — 80 tools that run the operational backbone, with full client visibility through live dashboards.

Explore REmaap → Service

REAP+

Lease management and accounting SaaS — the system of record for your portfolio, from critical dates to month-end close.

Explore REAP →

Questions

Frequently asked.

What is NEx4?

NEx4 is NTrust’s proprietary generative AI engine for real estate lease abstraction. It’s a custom-trained LLM (built on Microsoft’s DeBERTa architecture) tuned to extract 400+ data points across 83 lease provisions, with human review of annotations to prevent hallucinations on every output.

How is NEx4 different from generic AI tools?

NEx4 isn’t a wrapper around GPT or Claude with a real estate prompt. It’s a custom-trained LLM, fine-tuned on thousands of real leases. Generic AI handles general text well but breaks on the structural nuance of lease documents — co-tenancy clauses, indemnity caps, escalation schedules. NEx4 is built for that nuance.

How accurate is the AI?

92%+ accuracy before human review on standard provisions, climbing to ~99% after the full validation pipeline. Business validations cross-check the AI response on every output, and flagged fields are routed for senior expert review.

Why do you still use humans if the AI is this accurate?

For institutional real estate, the difference between 92% and 99% is the difference between operational risk and operational confidence. Edge cases — complex co-tenancy, unusual indemnity structures, custom escalations — are where AI struggles and where senior expertise still matters. Humans aren’t a backup; they’re a checkpoint.

How long does a lease take?

Standard commercial leases typically deliver in hours, not weeks — from document submission to fully validated, structured data in your system. Multi-document leases (lease + amendments + exhibits) follow the same pipeline as a single batch.

What systems does NEx4 export to?

Direct integration with Yardi, MRI, JD Edwards, Argus, and Oracle via open APIs. Excel, CSV, JSON, and XML for custom downstream systems. Audit trail and business validations preserved on every export.

See how NEx4 reads your leases.

Book a consultation and we’ll abstract a sample lease, walk you through the output field-by-field, and show you exactly how the pipeline performs on your portfolio.

Book a Consultation

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The lease, structured.

Lease abstraction is too important for generic AI.

Why NEx4 reads leases better.

Built on DeBERTa. Trained on real leases.

Every output validated by a person who knows leases.

83 provisions, every clause

Per-field confidence

Hours, not weeks

What happens to a lease document?

Document Submission

OCR Extraction

Document QC

LLM-Powered Annotations

Auto Abstraction

Human-in-the-Loop Review

Senior Expert Review

Business Rules Validation

Final Quality Score

Export to Your Systems

Full lease mastery

Battle-tested intelligence

Industry-spanning

Traceable precision

Unrivalled speed and accuracy

Human plus AI synergy

Analytics revolution

A few examples of the nuance it handles.

Direct to your stack.

Yardi

MRI

JD Edwards

Argus

Oracle

SAP

REmaap

REAP+

Frequently asked.

See how NEx4 reads your leases.

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Industries

Solutions

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