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Cedar

W25
2 people|Active|Website
91°Major Pivot
Before

AI automating intake calls and litigation workflows for law firms.

After

In-product AI copilot & for any app

Full description — before

Law practice is intellectual work trapped in a mesh of administrative tasks. We’re building AI agents that automate pre-litigation workflows for personal injury law firms. From AI voice agents that take the initial client intake call to drafting discovery requests and analyzing responses for motions to compel, new workflows can now be automated with the advent of voice and reasoning models. Personal injury is a $57 billion market in the U.S. alone, with a contingency fee billing model that incentivizes efficiency (unlike other practices of law billed hourly). In high-quality firms, each attorney can make upwards of 3.5 million per year– saving even 1% of their time is significant. We're working on saving >30% of their time. The founders, Jesse and Isabelle, met at Georgia Tech, where they graduated with degrees in Computer Science. They’ve worked on projects together for 4 years, while gaining industry experience as software engineers at LinkedIn, Intuit, Notion, and Figma.

Full description — after

Cedar is an AI copilot for any app. Imagine the founders themselves being behind every user’s screen: actively converting them, answering product questions, and upselling. Jesse worked at Intuit, writing software for TurboTax designed for customers of all tech literacy levels. Isabelle worked at Figma and Notion, learning about the struggles of getting users to effectively use powerful yet complex products as well as GTM strategies to reach them. At every step of the conversion funnel, users and companies struggle with knowledge gaps. Users not knowing how a product helps them reduces conversion, activation and retention. Companies not knowing what users want misleads messaging, product, and re-engaging churned leads. AI can do more than just replace a single job or industry. With Cedar at the center, we reimagine growth and customer support entirely, provide qualitative analytics of the user’s story and using them to improve user’s experiences live. As we enter the age of AI agents, they too will need an understanding of what software does and how to execute it. We plan to be the front door for all of them.

Category shift
AI Legal AutomationAI Productivity Assistants
Summary

The company changed from building AI automation for personal injury law firms (legal intake and litigation workflows) to an AI copilot for any app focused on user conversion, support, and engagement, targeting a completely different product, market, and problem.

Detected 1 year ago · 2025-02-27