Lexi

Lexi

AI Operating System for Legal Teams

San Francisco
15 employees
SaaS
Pre-seed · $500K

About Lexi

Lexi is an AI operating system for legal teams, law firms, and in-house counsel. It brings legal research, drafting, document review, contract redlining, case workflows, translation, knowledge management, and AI associates into one secure platform.

Lexi is built for enterprise legal work with end-to-end security, role-based access controls, audit trails, encrypted document handling, private workspaces, and deployment options for sensitive legal environments. Legal teams use Lexi to process high-volume legal documents, find answers with verified citations, draft in their preferred style, review contracts, and manage legal workflows from intake to output.

Lexi has processed 5,000,000+ documents across 200,000+ cases for 200+ organizations and law firms, helping lawyers save 10+ hours every week and handle more matters without adding headcount.

Company details

Team Size15
LocationSan Francisco
IndustrySaaS

Funding

Total raised

$500K

Last stage

Pre-seed

Investors

Y Combinator

Founders

Kiran Mohan

Kiran Mohan

Founding Team at Ethlas, a Sequoia-backed startup where he scaled the company to 100K+ users and $2M+ in ARR. Previously built high-frequency trading systems at Grasshopper that processed $500B+ in monthly notional volume. Now revolutionizing the legal industry with AI-powered legal associates at Lexi.

LinkedIn
Harshit Garg

Harshit Garg

Practiced law at top firms; computer science engineering graduate from Singapore University of Technology and Design (SUTD) who also pursued a PG in legal studies in Melbourne. Built Lexi to reduce repetitive admin work for lawyers.

LinkedIn

What happens next.

No applications, no recruiter spam. Just the intro.

01

Confirm the fit

A few questions to make sure this role is the right shape for you. Two minutes.

02

I pitch you to the company

I write the intro, send it to the founder, and handle the back-and-forth.

03

A meeting lands on your calendar

If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.