For Real Estate & Construction
AI for Real Estate & Construction
Who it is for
- REITs
- Asset managers
- Real estate law firms
- Construction firms
- Property developers
- Surveyors
Lease intelligence and due diligence at scale
Problem and approach
Where real estate teams lose time today
- Lease abstraction across hundreds of properties takes weeks per portfolio
- Title document review for defects requires line-by-line legal analysis
- Planning application compliance checks are manual
- Environmental survey risk assessment varies by reviewer
- Dilapidation reports and valuation cross-checks are slow
What DataStruct does
- Lease term extraction (rent, breaks, reviews, alienation, repair)
- Title defect and encumbrance flagging with severity scoring
- Environmental contamination risk detection
- Planning condition extraction with compliance tracking
- Portfolio-wide comparison and benchmarking
Use cases
Real Estate use cases
Lease Abstraction
Abstracting key terms from lease portfolios takes paralegals weeks per property.
Extraction of the lease fields you define with citation to clause.
Property Due Diligence
Acquisition DD requires reviewing titles, surveys, leases, and planning across many properties.
Bulk processing with red-flag detection (contamination, restrictive covenants, planning issues).
Planning Compliance
Planning conditions are scattered across decision notices and S106 agreements.
Extract conditions with deadline tracking, for reviewer verification.
Construction Contract Analysis
NEC, JCT, FIDIC contracts contain risk-allocating clauses buried across hundreds of pages.
Clause extraction with source links, for your reviewers to assess and compare.
Documents and questions
What real estate teams bring, and ask
Documents it reads
- Lease Agreements
- Title Documents
- Planning Applications
- Building Specs
- Environmental Surveys
- Dilapidation Reports
- Valuation Reports
- Construction Contracts
Questions you can ask
- “What are the break clauses in this lease?”
- “Extract all rent review provisions”
- “What restrictive covenants apply to this title?”
- “Identify environmental contamination risks”
- “What planning conditions must be satisfied?”
How findings read
The same evidence model in every sector
Answers cite the sources they rely on. Records DataStruct could not confirm are shown separately for a reviewer to check, related material is kept apart from evidence, and a finding with no support says so. Access is controlled by workspace roles, and sensitive actions are audit logged.