Documents & paperwork
Lease and contract abstraction
- Operational problem
- Key terms sit inside long documents; staff re-read them for every question.
- Type of AI solution
- Document extraction: a model pulls defined fields (dates, rents, options, clauses) into a structured table with page references.
Before
Analyst reads each lease and types terms into a spreadsheet.
After
Fields are pre-filled with page citations; analyst verifies each one and resolves blanks.
Human checkpoints
- Every extracted field verified against the cited page
- Second review for high-value terms
Data you need
- Executed leases or contracts
- Field definitions
- A hand-checked sample for testing
- Deployment pathway
- Configure
- Set up templates, rules, prompts or permissions inside a tool you already use.
- Complexity
- Medium
Safeguards
- Never rely on an uncited field
- Keep originals as the record
- Restrict access to confidential documents
KPIs to baseline, then measure
- Minutes per document
- Field-level error rate on a checked sample
- Backlog size
A small pilot
- Hand-abstract 20 documents as a test set
- Run the tool on the same 20
- Measure field accuracy before using on new documents
Real estate lens
Commercial lease portfolios, HOA documents, management agreements.
Evidence status: Survey-reported task use
Census BTOS lists "document analysis" among generative AI task categories businesses report. That shows use, not results.
- Census BTOS 2026 AI supplementSurvey-weighted prevalence of reported AI use and task categories; no outcome measures.