Lease Abstraction

Challenges Lease Abstraction addresses

Done by hand, lease administration means gathering lease document and abstraction settings, working through 5 separate passes over the same material, then producing gaps and inconsistencies, headline terms and critical dates. None of it is difficult and all of it is exacting, which is the combination people are worst at holding. The errors that matter are the ones a tired reader does not notice, and they surface later — in a reconciliation, or in somebody’s reply. It waits until someone remembers it, which is usually the point at which it has become urgent. As volume grows the work does not get harder, only longer, and the first thing to go is the checking.

Lease Abstraction runs that same sequence end to end and returns the result as structured artefacts. What it cannot settle it hands over rather than guesses at, and your correction is kept: it asks “Would you file this abstraction as it stands?” after every run, and those answers become the set it is measured against. Nothing that moves money, alters a contract or reaches a customer executes without human approval, and every action is written to an audit log. The gain is in the volume that no longer has to be read, not in removing the judgement.

How it works

Step 1: Extracting the lease text

First of 5. It works from lease document and abstraction settings and feeds the step after it.

Key Tasks:

• Locating the material: It works from lease document and abstraction settings, so nothing has to be forwarded, re-keyed or renamed first.
• Handling the format it arrives in: Scanned pages, native documents, spreadsheets and message bodies are all read the same way, including layouts where the relevant figure sits inside a table rather than a labelled field.
• Pulling the fields that matter: Only the fields the rest of the run needs are extracted. What cannot be read confidently is recorded as unread rather than filled in with a best guess.

Outcome:

• Fields extracted: The fields are available to the steps that follow, with anything unreadable listed rather than silently defaulted — which is what stops a bad extraction becoming a confident wrong answer three steps later.

Step 2: Reading the commercial terms

Step 2 of 5. It takes what step 1 produced and hands its result to step 3.

Key Tasks:

• Reading the commercial terms specifically: This pass is scoped to the commercial terms rather than to the document as a whole, so a field that appears in more than one place is taken from the one that governs.
• Keeping the original alongside: Each extracted value stays linked to where it was found, so a figure that looks wrong can be checked against the source rather than re-entered.
• Locating the material: It works from what step 1 produced, so nothing has to be forwarded, re-keyed or renamed first.

Outcome:

• The commercial terms captured: The fields are available to the steps that follow, with anything unreadable listed rather than silently defaulted — which is what stops a bad extraction becoming a confident wrong answer three steps later.

Step 3: Checking the clause list

Step 3 of 5. It takes what step 2 produced and hands its result to step 4.

Key Tasks:

• Running the checks in order: Every rule for lease administration is applied to every record, in the same order each run. A record is not skipped because it looks routine.
• Recording evidence, not verdicts: Each check stores what was expected and what was found, so a failure can be understood without re-running anything.
• Separating clear from unclear: A check the agent cannot settle is marked unresolved rather than passed, which keeps "checked" meaning checked.

Outcome:

• All checks pass: The record clears with its evidence attached, available if anyone asks later.
• A check fails: The record is held with the failing checks named and the rest shown as passed, so a reviewer sees the scope of the problem rather than only that there is one.

Step 4: Checking for gaps

Step 4 of 5. It takes what step 3 produced and hands its result to step 5.

Key Tasks:

• Testing for gaps: The rules applied here are the ones that govern for gaps, rather than a general validity check that would pass anything well-formed.
• Failing loudly, not quietly: A rule that cannot be evaluated is reported as unevaluated. A check that silently passes when it could not run is worse than no check.
• Running the checks in order: Every rule for lease administration is applied to every record, in the same order each run. A record is not skipped because it looks routine.

Outcome:

• Within policy: The item satisfies every rule that governs it and continues without review.
• Outside policy: The failing rules are named alongside the ones that passed, so a reviewer sees the scope of the problem rather than only that there is one.

Step 5: Building the property-system record

Last of 5. It takes what step 4 produced and produces gaps and inconsistencies and headline terms.

Key Tasks:

• Writing from the run, not from a template: The text is built from what this run actually found, so two lease administration outputs differ where the underlying records differ.
• Leading with what needs a decision: The exceptions come first and the routine detail follows, because the reader is deciding rather than reading.
• Staying inside the evidence: Nothing appears in the text that is not supported by a record the run examined. Gaps are stated as gaps.

Outcome:

• Artefact ready: A finished artefact, traceable line by line to the records behind it, ready for a person to accept or correct.

Step 6: Your review, and what it changes

The run ends with a person, not with a result being filed.

Key Tasks:

• Asking a specific question: It asks “Would you file this abstraction as it stands?” rather than for a rating. A question about this run is answerable; a score out of five is not.
• Keeping the correction: What you change is recorded against the case that produced it, so the disagreement is retrievable rather than absorbed.
• Building the evaluation set: Those cases become what the agent is measured on. It is scored against your judgement rather than against a general benchmark.

Outcome:

• A measured agent, not an assumed one: The cases Lease Abstraction handles well and the cases it does not are both visible, and the second list is the one that decides what changes. Nothing is retrained silently on the back of a single correction.

Why use Lease Abstraction?

• Checks are evidenced, not asserted: Each check records what was expected and what was found. A failure can be understood — and argued with — without re-running anything.
• Read against your standard position: Clauses are compared to the position you already take rather than to a generic template, so what comes back is the deviations rather than a summary of the document.
• A batch is one run, not a hundred: It works the whole set in a single pass and returns a row per item with its verdict, so the volume that needs no attention never has to be opened.
• Machine-readable for whatever comes next: One of the artefacts is a structured payload, so this agent can sit in the middle of a pipeline rather than only at the end of one.
• Takes documents as they arrive: Scanned pages, native files and awkward layouts are read as they are. Nothing has to be renamed, re-keyed or converted into a template before a run.