How do I extract assets, liabilities, and creditors from debt documents?

Direct answer

Debt documents often mix structured lists with narrative text, so the workflow should define each required output field instead of relying only on fixed table coordinates.

For example, the same workflow can look for debtor or entity information, income and expenditure values, assets, outstanding finance, creditor names, balances, payment amounts, and proposal terms even when those values appear in different sections.

What the workflow should include

The extraction schema should separate one-per-case fields from repeatable rows such as creditors, debts, assets, and payment schedules.

The workflow should also flag incomplete creditor rows, ambiguous assets, inconsistent balances, and fields that require human confirmation before data is loaded downstream.

How Lido helps

Lido lets teams define the target columns, extract from both paragraphs and tables, review exceptions in a spreadsheet-style interface, and export the result to the format the operations team needs.

That helps replace manual keying of debt documents with a repeatable process for structured case data.

Example workflow

1. Decide which fields are case-level values and which should become repeatable rows.
2. Define columns for assets, liabilities, creditors, balances, payments, dates, and notes.
3. Extract from a sample set that includes both narrative-heavy and table-heavy documents.
4. Review flagged values before exporting to the case team or system of record.