Legal ops · Production
Harvey and ElevenLabs partner to give lawyers a global multilingual voice
The problem
Legal AI lacked spoken, multilingual capabilities, leaving lawyers unable to engage with AI in their own language and context across different jurisdictions and cultures.
Workflow diagram · grounded in source
1
ElevenLabs TTS and STT integration
integration
“Powered by ElevenLabs' Text to Speech and Speech to Text, Harvey will make legal knowledge more accessible and human across jurisdictions and cultures”
2
Multilingual spoken answer delivery
output
“The first phase will allow Harvey to deliver answers audibly in almost any language or dialect”
3
Future multilingual voice features
output
“Future developments will introduce new features like multi-lingual voice translation, voice mode, spoken trial simulations, tone customization, and more”
Reported outcome
The partnership enables Harvey to deliver legal answers audibly in almost any language or dialect, making legal knowledge more global, accessible, and human.
Reported metrics
Languages and dialects supporteddozens of languages, dialects, or accents
Reported stack
HarveyText to SpeechSpeech to Text
Frequently asked questions
What did this team achieve with this AI workflow?
The partnership enables Harvey to deliver legal answers audibly in almost any language or dialect, making legal knowledge more global, accessible, and human.
What tools did this team use?
Harvey, Text to Speech, Speech to Text.
What results were reported?
Languages and dialects supported: dozens of languages, dialects, or accents (source-reported, not independently verified).
How is this legal ops AI workflow structured?
ElevenLabs TTS and STT integration → Multilingual spoken answer delivery → Future multilingual voice features.