Lawpath
Self-service legal answers and document drafting
Lawpath reduced questions to customer service agents by 25% after introducing AI legal answers
Problem
Lawpath's legal team spent an unsustainable amount of time researching customer questions and finding documents. The online legal service wanted customers to handle more tasks themselves.
Approach
Lawpath built an orchestration engine using Anthropic Claude on Amazon Bedrock. It used previous cases, customer briefs, and lawyer input to generate contextual answers. Its Ask, Draft, and Document Review features supplemented access to lawyers.
Results
Takeaway
Self-service answers reduced questions reaching Lawpath's agents, while AI drafting increased document output.
Categories
- Size
- Small business
- Industry
- Professional services
- Business function
- Customer serviceFinance, risk and legal
- Innovation type
- Process innovationProduct and service innovation
- AI technology
- Generative AIConversational and voice AI
- Adoption
- Off-the-shelf tool or platform
- Evidence
- Vendor case study
Sources
Source summaries
Lawpath's engineering head reported 25% fewer questions reaching customer service agents after Ask launched. He also reported 15% more documents created through AI drafting. The page carries no date; the Internet Archive first saved it on May 29, 2024.
Full details are in the original sources.