Data Engineering for Legal Services

Pipelines without tests are pipelines nobody trusts, and untrusted numbers get quietly replaced by someone's spreadsheet. We ship the tests with the pipeline.

In legal services, privilege and confidentiality mean data handling is scrutinised more than model performance. That single fact reshapes how data engineering has to be built here, the guardrails, the approval points and the evidence trail are design inputs rather than things bolted on before go-live.

The workload we are most often asked to take on first is billing narrative drafting, usually integrated against billing systems. Every engagement opens with a measurement: the cycle time, the cost per transaction, or the error rate we are being asked to move.

Built by engineers who ship production systems, not by a practice that subcontracts the build. Six weeks to something running in production, not six quarters to a strategy document.