Co-Founder & CEO
Since Aug 2024 · 2 yrs 3 mos
Profile summary: Credit Suisse Process Manager L&C
Omnilex
Omnilex is an AI-powered legal workspace that automates legal research, delivering precise answers drawn from statutes, case law, and scholarly commentary. The platform reduces reliance on costly legal databases and cuts research time by up to 93%, while keeping data confidential on Microsoft Azure. It also operates as a law firm in which senior attorneys lead each matter and AI handles repeatable work under fixed-scope, pre-priced engagements.
- Legal Technology
- Artificial Intelligence
- Software Only
- Enterprise Software
Updated 22 days ago
Funding
Raised to date
$4.5MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
across 1 round
PMTS$4.5M · Seed
Announced Nov 2025 · from article date
Disclosed cumulative: $4.5M
RoundDateAmountValuationInvestors
Founders
Co-Founder
Profile summary: Huawei Junior Quantum SW Eng.
Co-Founder & COO
Since Aug 2024 · 2 yrs 3 mos
Profile summary: neon Business Development
Co-Founder & CTO
Since Apr 2024 · 2 yrs 7 mos
Profile summary: Niantic Security Eng., Oracle Researcher Intern
Product
Problem
Legal research relies on costly commercial databases and on sources scattered across statutes, case law, and scholarly commentary. Manual research consumes significant lawyer time, which makes advice on repeatable matters expensive and hard to budget.
Solution
Omnilex provides an AI-powered legal workspace, and the firm built on it, in which senior attorneys lead each matter and AI carries the high-volume, repeatable work. The research tool returns answers drawn from statutes, case law, and scholarly commentary, reducing dependence on costly legal databases. According to the original company description, it cuts research time by up to 93% while keeping data confidential on Microsoft Azure. Modular tools, including research, grid, playbooks, and Word add-ins, let individual lawyers, teams, and enterprises adopt the capabilities they need. Client standards, risk posture, and institutional context are built into the system before work begins, so each matter builds on earlier work. Engagements agree scope, deliverables, timing, and fees in advance rather than billing by time, and efficiency gains from AI are passed on to clients.
Target Audience
Primary customers are individual lawyers, legal teams, and enterprises seeking document-intensive or repeatable legal work, such as corporate clients needing advice on cross-border contracts, employee data protection, or regulatory compliance.
Features
- AI legal research that returns answers sourced from statutes, case law, and scholarly commentary
- Modular toolset including research, grid, and playbook tools for structured legal work
- Playbooks that encode client standards, risk posture, and institutional context into the system
- Word add-in that brings workspace tools into document drafting and review
- Deployment on Microsoft Azure with data confidentiality safeguards
- Persistent matter context so later work builds on earlier matters without re-explanation