Fields that sit behind the document pack
Matter data design starts with the information your practice uses repeatedly, then turns it into a clean field set for letters, contracts, leases, wills and conveyancing paperwork. We look at which details must be captured once, which items change from matter to matter, and where the same fact should flow into more than one document without retyping.
The output is a practical field map for matter opening, drafting and review. That usually covers party names, identity details, addresses, property descriptions, dates, reference numbers, fee notes, authority details and clause options. We also identify which fields should be free text and which should be controlled values, so the documents stay tidy and consistent.
- Core party details and contact fields
- Matter reference and workflow fields
- Clause choice fields for approved wording
- Date, place and property related fields
- Optional fields for document specific needs
How we shape the data model
The design work sits between your template library and the people who use it. We review each recurring document type, note the data it needs, then group those items into a matter structure that supports merge fields, conditional clauses and sign-off review. That keeps the draft process orderly when a file moves from instruction to issue.
Where a field appears across several templates, we make sure it is defined once and reused in the right places. Where a document needs a branch in logic, we set the data so the correct clause or paragraph appears only when the chosen answer supports it. That reduces manual clean-up and keeps the wording aligned across versions.
- Single source fields for repeated information
- Conditional values for clause selection
- Clear labels for user entry screens
- Consistent naming across documents and matter records
The working steps from brief to field map
We begin by listing the document families the firm handles most often and the information each one needs. Then we compare existing forms, template notes and internal practices to see where data is duplicated or missing. After that, we draft the matter field structure and test it against a few real matter scenarios, so the field list holds up in normal use.
Once the structure is agreed, we prepare the field names, descriptions and grouping rules for implementation. If a practice already has document templates, we align the fields to those templates. If the firm is still adjusting its library, we shape the data model so later updates are easier to manage.
- Document and process review
- Field grouping and naming
- Scenario testing against sample matters
- Template alignment and handover notes
What the service includes in practice
Matter data design covers the structure of the data. It is about making sure the right information is captured in the right place, then carried into the right document fields with less friction for the team. For small firms, that often means fewer repeated entries, fewer mismatched versions and a cleaner path from instruction to final document.
The service can include review of existing matter intake forms, a field list for standard document sets, mapping notes for merge fields, and guidance for version control and sign-off steps. We also factor in secure cloud storage practices and POPIA-aware handling, so data is managed with care across the document process.
- Field inventory for recurring legal work
- Document-to-data mapping notes
- Review and sign-off structure
- Secure storage and access handling notes
Timing, cost and scope
Timing depends on how many document families are involved, how complete the current template set is, and whether the practice already has a workable intake structure. A focused scope with a small number of repeat documents is quicker to map than a broad set that still needs naming clean-up and field rationalisation.
Pricing is shaped around scope. That means the work is quoted against the number of templates, the depth of the matter fields, the amount of migration work and any training needed for staff who open files or prepare drafts. For firms with several offices or practice areas, the scope may also include separate field sets for different document groups.
- Scope based pricing approach
- Template count and complexity
- Migration and training requirements
- Single office or multi office setup
Aftercare once the structure is in use
After the field model is live, we support the practical side of use as new document types are added or existing ones change. That can include updating field names, adjusting required values, refining conditional logic and checking that version control still points users to the approved wording. We also help when a firm notices that a data point is being captured in the wrong place or needs to move into a better grouped section.
For firms in Johannesburg, Pretoria, Cape Town, Durban, Bloemfontein and other South African centres, this support is useful when matters vary by office or practice area. The data supports day-to-day drafting, and the firm can add or refine templates on the same structure.
- Field updates for changed document needs
- Logic checks on conditional entries
- Version and sign-off alignment
- Support for expanded practice areas
Key facts
| Service | Matter Data Design |
|---|---|
| Focus | Core data fields for recurring legal documents |
| Typical outputs | Field maps, naming rules, merge field notes, scenario checks |
| Document types | Contracts, wills, leases, letters of demand, conveyancing paperwork |
| Method | Template review, field grouping, conditional logic and sign-off mapping |
| Coverage | Rosebank, Johannesburg and practices across South Africa |
