Commercial lease abstraction features built around the real review problem

Problem

Commercial lease review breaks down when every abstract uses a different spreadsheet. One reviewer captures renewal notice days, another skips CAM exclusions, and a third leaves rent schedules buried in notes. The portfolio looks organized until someone needs to compare leases under deadline.

Solution

Lextract extracts 126 structured fields from each lease PDF. The same schema covers parties, premises, term dates, rent, escalations, CAM language, options, assignment, insurance, default, parking, signage, and unusual provisions that often get missed in manual review.

Problem

Commercial leases arrive as scans, amendment packages, signature copies, and long PDFs with tables, exhibits, and odd formatting. Plain text extraction can flatten those cues, which makes dates, rent schedules, and clause boundaries harder to trust.

Solution

Lextract uses PDF-native AI extraction built for real commercial lease files. It reads native and scanned PDFs, keeps useful layout context, and turns the document into structured lease data in 5-15 minutes.

Problem

A lease abstract can look polished and still be wrong. The risk is highest when rent schedules conflict with amendments, option windows depend on notice language, or CAM provisions spread across several sections.

Solution

Lextract validates extracted lease data across multiple passes. The system checks the draft against the document, looks for contradictions, and gives the reviewer a cleaner set of fields to inspect instead of treating the first answer as final.

Problem

Without confidence scoring, every extracted lease field looks equally certain. Reviewers either recheck everything, which wastes time, or trust the output too quickly, which creates risk.

Solution

Lextract adds confidence scoring to individual extracted fields. Reviewers can scan high confidence terms quickly and slow down on lower confidence fields, exceptions, and provisions that need human judgment.

Problem

Risky lease language often hides in ordinary sections. A missing audit right, uncapped CAM clause, personal guarantee, or aggressive holdover rate can matter more than the headline rent number.

Solution

Lextract checks each abstraction against 20 automated red flag rules. The result points reviewers toward provisions that deserve attention before the abstract is exported or shared.

Problem

A summary is not enough for lease operations. Teams need to verify exact dates, amounts, notice periods, and clause references before using the data for diligence, accounting, or negotiations.

Solution

Lextract presents structured fields, confidence scores, red flags, and export options in a review workflow. The reviewer can inspect the lease abstract before using it in reports, imports, or client materials.

Problem

Lease data often gets trapped in the first format someone creates. A paralegal abstract may not fit Excel, a spreadsheet may not read well for a client, and a PDF summary may not import cleanly into another workflow.

Solution

Lextract exports reviewed results to Excel, Word, and PDF. Teams can use the same structured abstraction for analysis, client review, diligence files, and downstream handoff without rebuilding it.

Problem

Many CRE teams need abstraction in bursts. A portfolio acquisition, backlog cleanup, renewal push, or tenant review may require fast output without a long software purchase or BPO engagement.

Solution

Lextract starts at single lease for $15. Teams can buy one extraction or discounted packs, use credits when lease work appears, and avoid a subscription when they only need the abstraction step.