Database Design, Coding Protocols & QA Review
A document database is only as reliable as its structure, coding protocol, and quality control process.
Teams with document databases that need to be searchable, consistent, and production-ready.
This service supports legal teams and project teams working with large document collections, whether building a new database, inheriting an existing one, or preparing a collection for production. The focus is on structure, coding consistency, and reliability under scrutiny.
The Problem
Inconsistent databases create risk that compounds over time.
Document databases for historical records often suffer from inconsistent coding, undefined naming conventions, unreliable date formats, missing metadata, duplicate entries, and no audit trail. These problems make the database difficult to search, unreliable to cite, and vulnerable to challenge.
Inherited databases, often built by previous teams or contractors, may contain years of accumulated inconsistency that is expensive to identify and difficult to correct without a structured review process.
What Laura Helps With
Database structure, coding standards, and quality assurance.
- Database design and files database structure
- Source fields, metadata design, and document-type conventions
- Coding manual and coding protocol development
- Date, name, and document-type naming conventions
- Issue coding for litigation-relevant categories
- Metadata consistency review
- Audit trail design and documentation
- New-coder auditing and onboarding QA
- Rolling quality assurance review
- Inherited database review and assessment
- Salvage-versus-redo decision support
- Production risk reduction
Laura's database and coding work is eDiscovery-adjacent: it focuses on the historical records context, coding consistency, provenance, and methodology documentation that standard eDiscovery processing does not address. Experience includes Summation, Ringtail, and NUIX environments.
What the Client Receives
A database that is structured, searchable, auditable, and production-ready.
- Structured database with consistent coding and metadata standards
- Documented coding protocol and coding manual
- QA audit results and correction documentation
- Inherited database assessment with salvage-or-redo recommendation
- Production-readiness assessment and risk documentation
Need a document database reviewed, structured, or prepared for production?
Book a consultation to discuss the database, coding concerns, QA gaps, and the next step.