Solution
For lease administration, corporate real estate, and legal ops teams abstracting portfolios: 1,000+ data points per lease, clauses risk-scored on your rules, every value cited to its source page.
The problem
Every lease needs a subject-matter expert to interpret it, and a portfolio holds hundreds in different formats, layouts, and legal language. Abstraction backlogs stall deals and audits alike.
Teams of external abstractors produce inconsistent output, so every abstract passes through multi-level review before anyone trusts a rent schedule.
An abstract with no link back to the source page forces a reviewer to hunt through the full lease to check a single escalation or renewal option.
The product, not a promise
How it works
Lease agreements, amendments, and addenda load in any format, layout, or legal language.
Each document is typed and routed — a New York office lease and a UK retail amendment take different paths.
The platform pulls 1,000+ key data points per lease and generates an instant summary.
Risk clauses are flagged and scored against the severity profile your business defines.
Analysts approve or correct each abstract, with every value linked to the page it came from.
Who it's for
Lease analyst
Head of lease administration
Legal / risk
Lease abstraction is expert work at commodity prices. Every lease needs a subject-matter expert to interpret it, and every portfolio has leases in different formats, layouts, and legal language. The standard answer — outsourcing to teams of abstractors — is slow, expensive, and produces inconsistent output that still needs multi-level review before anyone relies on it.
Botminds automates the reading. One customer, a data solutions provider serving Fortune 2000 companies, used the platform to process thousands of complex lease documents in a single day.
The platform reads each lease, identifies its structure, and extracts more than 1,000 key data points: parties, dates, rent schedules, renewal options, escalations, obligations. Each lease gets an instant summary. Risk clauses are highlighted and scored against the custom severity levels your business defines — an indemnity clause that matters to a REIT may not matter to a retailer, and the scoring reflects your rules.
Output lands as structured abstracts your team can search, compare, and export, ready for the lease administration system rather than another pile of PDFs.
An abstract you can trace is an abstract you can trust. Every extracted value is cited to the exact page and passage it came from, so a reviewer verifies a rent escalation in seconds instead of re-reading the lease. Nothing is finalized without human approval: the platform does the reading, your experts make the call. When formats shift or new lease types arrive, the same review loop trains the models forward, so accuracy compounds instead of decaying.
The result is abstraction that scales with document volume rather than headcount, with the audit trail your legal and finance teams expect attached to every value.
Objections, answered
Every extracted value is cited to the exact page and passage it came from, so verifying a rent escalation takes seconds instead of a re-read. Nothing is finalized without human approval — the platform does the reading, your analysts make the call.
Risk clauses are scored against severity levels your business defines, and the abstract fields follow your template. An indemnity clause that matters to a REIT may not matter to a retailer; the scoring reflects your rules, captured through review, no code.
Each abstract keeps its full evidence chain — value to page, page to file, reviewer to approval. Legal and finance can trace any figure in the abstract back to the executed lease, months or years later.
Load a sample portfolio; the first abstracts are a review exercise, not a build project. Most teams are comparing generated abstracts against their current ones within days and running live portfolios within weeks.
Watch it become a cited, risk-scored abstract live in the demo.
Request a demo