Legal case study

Lease AI Analyser
Days reduced to under 60 seconds

A document-intelligence engine that extracts clauses, calculates NPV, and flags risk from commercial leases in under a minute.

Legal & Finance NLPDocument IntelligenceFinancial Modeling

Industry

Legal & Finance

Timeline

5 weeks from problem framing to review-ready system

Outcome

Days reduced to under 60 seconds

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Result snapshot

Days reduced to under 60 seconds

The first-pass analysis now appears almost instantly, letting specialists focus on judgment, negotiation, and exception handling instead of rote extraction.

A radically faster first-pass review process

More consistency in how agreements are summarized

Better use of expert time on high-value interpretation

/ The challenge

Where the bottleneck actually was

A legal team was spending two to three days per commercial lease agreement, manually reading long documents, extracting key terms, calculating NPV, and checking for risky clauses under deadline pressure.

Lease review was slow, cognitively heavy, and expensive.

Teams had to combine legal reading with financial calculation manually.

Important clauses and risk flags could still hide inside long documents.

/ What we built

A system built around the real workflow

We built a document-intelligence engine that ingests commercial leases, identifies critical fields and clauses, calculates the financial view, and returns a structured summary for legal review. Instead of starting from a blank page, the team starts from a prepared analysis.

Module 01

Document ingestion for long-form commercial agreements

Module 02

Clause extraction and field normalization

Module 03

Financial calculation layer for NPV and related commercial metrics

Module 04

Structured summary output for fast human review and escalation

Build profile

Stack

NLPDocument intelligenceFinancial modelingStructured outputs

Proof source