Case Study: Moores improves efficiency and reduces risk with BigHand Speech Recognition

Moores’ increases efficiency, reduces risk behind BigHand Speech Recognition

Moores, a Melbourne-based law firm, wanted to support its fixed-price “MAP” model by improving internal efficiency while keeping costs in check. Its previous standalone dictation setup lacked centralization and workflow management, creating poor visibility, lost voice files, and added IT risk and support effort. BigHand’s digital dictation and speech recognition solution was chosen to address these issues.

With BigHand, all staff gained access to digital dictation, mobile dictation on the go, and workflow visibility so lawyers could track job status from desktop or mobile devices. The firm also used BigHand Speech Recognition, allowing PAs to route dictations into transcription when busy, effectively creating a virtual assistant. The result was greater efficiency and effectiveness, reduced operational risk, and better control of costs, though no specific numerical metrics were provided.

Moores

Lee Oliphant

ICT Manager