Rigid AI lost reps mid-call, slowing claims. Agents now read conversational cues and adjust tone — reps often can't tell they're AI.
A pre-litigation legal services firm managing personal injury cases through high-volume outbound calls to insurance carriers and medical providers, including IVR navigation, hold times up to two hours, and contextual follow-ups on records and billing.
An existing automated calling vendor was handling only 59% of calls successfully, with no visibility into underlying models or control over voice...
“We went from a 59% success rate to 93% on the exact same calls, and we're now spending roughly a sixth of the time on the phone that we used to. That's let the same team keep pace with our growth without scaling headcount in lockstep.”
AI-powered legal operations platform for personal injury law firms.
AI voice synthesis platform for text-to-speech, dubbing, and voice cloning.
Finch Legal's Legal calls is part of this use case:
Related implementations across industries and use cases
Voice integration demanded 400 lines of code. A pre-built framework cuts that to 40, enabling rapid agent deployment.
Without emotional warmth, users felt self-conscious during personal AI chats. Expressive text-to-speech made conversations feel human.
Post-call processing left hours between 'stop calling' and the system acting. Now suppression fires mid-sentence, in under two seconds.
Phone-based onboarding sounded robotic across three languages. Natural AI voices turned calls into conversations frontline workers trust.
Off-hour callers in crisis waited days for help. Now, voice AI fields calls, routes urgent cases to humans, and automates documentation.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Manual reviews of massive contracts bottlenecked cash flow. Now, lawyers use embedded AI agents to dissect agreements and accelerate deals.
Ambiguous job descriptions forced reviewers into long email loops. Now, AI drafts targeted follow-up checklists so experts decide faster.
Rigid AI lost reps mid-call, slowing claims. Agents now read conversational cues and adjust tone — reps often can't tell they're AI.
A pre-litigation legal services firm managing personal injury cases through high-volume outbound calls to insurance carriers and medical providers, including IVR navigation, hold times up to two hours, and contextual follow-ups on records and billing.
An existing automated calling vendor was handling only 59% of calls successfully, with no visibility into underlying models or control over voice...
“We went from a 59% success rate to 93% on the exact same calls, and we're now spending roughly a sixth of the time on the phone that we used to. That's let the same team keep pace with our growth without scaling headcount in lockstep.”
AI-powered legal operations platform for personal injury law firms.
AI voice synthesis platform for text-to-speech, dubbing, and voice cloning.
Finch Legal's Legal calls is part of this use case:
Related implementations across industries and use cases
Voice integration demanded 400 lines of code. A pre-built framework cuts that to 40, enabling rapid agent deployment.
Without emotional warmth, users felt self-conscious during personal AI chats. Expressive text-to-speech made conversations feel human.
Post-call processing left hours between 'stop calling' and the system acting. Now suppression fires mid-sentence, in under two seconds.
Phone-based onboarding sounded robotic across three languages. Natural AI voices turned calls into conversations frontline workers trust.
Off-hour callers in crisis waited days for help. Now, voice AI fields calls, routes urgent cases to humans, and automates documentation.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Manual reviews of massive contracts bottlenecked cash flow. Now, lawyers use embedded AI agents to dissect agreements and accelerate deals.
Ambiguous job descriptions forced reviewers into long email loops. Now, AI drafts targeted follow-up checklists so experts decide faster.