The three levels
The taxonomy has a strict three-level structure. Understanding each level will help you navigate the deal and interpret classifications correctly.Categories
The top-level groupings — broad functional areas such as Corporate Governance, Financial Overview, or Intellectual Property. Think of these as the tabs in a traditional data room index.
Subcategories
Mid-level groupings within each category. For example, Corporate Governance might contain subcategories like Shareholders, Governing Documents, and Affiliates.
Request Items
The individual documents or data points you expect to receive — for example, Audited Financial Statements FY2023 or List of Material Contracts. These are the items that Coverage tracks.
Example taxonomy
A typical sell-side due diligence taxonomy looks something like this:
Your actual taxonomy will vary based on the information request you upload and the nature of the deal.
How Plomo builds your taxonomy
Plomo extracts the taxonomy automatically when you create a deal.1
Upload your information request
Paste in or upload the information request document you’re sending to the target company. This is typically a structured list of documents and data points organised by functional area.
2
Automatic extraction
Plomo parses the information request and maps its structure into categories, subcategories, and individual request items. This usually completes within a few seconds.
3
Review and refine
The extracted taxonomy is shown to you before documents start flowing in. You can rename categories, merge or split subcategories, add missing items, or remove irrelevant ones.
If you don’t have an information request ready, Plomo can start you off with a standard sell-side due diligence template that covers the most common functional areas. You can customise it at any time before or after documents arrive.
Aliases: handling terminology differences
Targets don’t always use the same vocabulary you do. A document labelled Cap Table should land in the same place as one labelled Shareholder Register. Plomo handles this with aliases. For every category and subcategory, Plomo automatically generates a set of common synonyms and alternate phrasings. The AI classifier considers all aliases when it evaluates an incoming document, so terminology differences don’t lead to misclassification. For example:
You can view and edit aliases for any category or subcategory from the Taxonomy panel inside your deal.