Speech Recognition & Transcription for Legal Services

Code-mixing is normal in Indian speech and a general model often mishandles it. We test specifically for the switch points.

In legal services, privilege and confidentiality mean data handling is scrutinised more than model performance. That single fact reshapes how speech recognition & transcription 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 precedent research, usually integrated against e-discovery platforms. We start from the constraint, not the capability, what the system must never do, who signs off, and what happens when it is wrong.

Built by engineers who ship production systems, not by a practice that subcontracts the build. We hand over with runbooks, tests and a team that knows how it works, not a dependency.