This company develops voice-enabled AI agents designed to scale revenue-generating activities within professional services firms. These agents interact with unstructured information through human-like conversations to capture critical knowledge and convert it into structured updates, credentials, and actionable business development opportunities. The platform provides continuous knowledge capture and automated workflow completion, offering scalable output without increasing headcount.
Funding
Funding not disclosed
Founders
Product
Problem
Law firms struggle to scale business development and marketing efforts due to valuable knowledge being trapped in unstructured conversations and inaccessible to firm-wide systems. This leads to missed opportunities, reduced efficiency, and a failure to capitalize on existing expertise.
Solution
Legal Engine provides a suite of agentic voice AI assistants designed to capture critical knowledge from legal professionals through natural conversations. These assistants are trained with legal and professional services expertise to elicit key information that has not been formally documented. The AI then transforms this unstructured data into structured formats, such as directory submissions, pitch materials, and CRM updates. By automating routine tasks and improving information flow, Legal Engine enables law firms to win more work and reduce non-billable time, thereby unlocking growth potential.
Target Audience
The primary customers are law firms, specifically their business development, marketing, and operational teams, who aim to improve efficiency and revenue generation by better leveraging internal knowledge.
Features
- Agentic voice AI assistants that initiate or accept calls from authenticated users.
- Natural language processing (NLP) for converting dictated updates into structured information.
- Expertise in legal context and industry best practices to ask relevant questions.
- Automated generation of structured outputs including directory submissions, pitch content, and CRM data.
- Seamless integration with CRM and matter management platforms for real-time data updates.
- Creation of complementary assets for business development and marketing initiatives.
- Ability to schedule follow-up conversations and track interaction history.
- Development of a knowledge graph that improves assistant performance over time through captured data.