A contract library that works for three people often breaks at thirty—not because the files change, but because the mental map in someone’s head stops being shareable. The antidote is boring, intentional structure.
We built tractlyAI so categories and AI Q&A work together in one product. For philosophy and roadmap, read About tractlyAI.
Design for the next operator
Assume the person who uploaded the document will be on vacation when someone else needs it. That means predictable names, stable category rules, and fewer, clearer buckets over deep nesting with one-off labels.
A sensible top level often mirrors how the business already thinks, for example:
- Customer / revenue
- Vendor / spend
- Employment and HR
- Real estate and facilities
- Corporate and governance
Naming conventions that work
A filename like ACME MSA 2024-11 signed.pdf beats Scan123.pdf every time. If your team uses a CRM or ERP id, add it as a prefix so search stays consistent: CRM-10892_ACME MSA.
Keep versions explicit: draft, execution, and amendment should never share the same canonical name. When in doubt, append the effective date or a short amendment label.
Categories and search are complements
Categories help browse; search helps when someone remembers a clause or a company name, not a folder. In tractlyAI you can use Category organization alongside full-text and AI-powered Q&A, so you are not forced to pick one metaphor for everything.
Don’t let “perfect taxonomies” block shipping
It is better to start with a 80% good model and document the exceptions than to spend a quarter in meetings defining thirty-seven sub-categories you will not maintain. Revisit the taxonomy on a fixed cadence—quarterly for most growing companies works well.
Bottom line: structure exists so your team can answer, Where is the agreement that covers this relationship? without a forensic expedition.
Get operational answers any time in our FAQ, or start from the tractlyAI home page to try the product flow end to end.