Use case · Real Estate & Construction

Lease and contract abstraction

Generative AI that extracts key terms, dates and obligations from leases and contracts into structured, searchable records.

The challenge

What organisations face

Landlords and asset managers hold thousands of leases, amendments and service contracts with critical terms buried in long documents. Break options, rent reviews and obligations are tracked manually, deadlines are missed, and due diligence for acquisitions or refinancing requires expensive, time-consuming legal review.

The solution

What VulcanTech engineers

VulcanTech would build an abstraction pipeline that ingests scanned and digital documents, uses language models to extract parties, dates, rent terms, options and obligations into a structured schema with clause-level citations, and routes low-confidence fields to reviewers. Abstracted data feeds lease management systems, and a retrieval assistant answers portfolio-wide questions across the document set.

Expected outcomes

What changes for the business

  • Critical dates and obligations tracked automatically
  • Faster due diligence across large portfolios
  • Every extracted term linked to its source clause

Capabilities

Service lines involved

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