Erinys
New accelerator entry · 2026-08-09 · the record
In their words
Erinys provides the technology, intake, back office, and client acquisition needed to launch and scale an AI-native law firm. Lawyers own their firms and make every legal decision; Erinys handles everything around them.
What the record says
Founder at Erinys (YC S26). Presented vulnerability discovery research at Black Hat USA 2025 and spoke at the SANS OSINT Summit 2025. Undergraduate researcher at UMD working across IPv6 botnet detection, malware analysis, and hardware security. Previously taught an OSINT course at UMD and led the university's 1800+ member cybersecurity club.
Founder at Erinys (YC S26). Before Erinys, Matthew led greenfield development at multiple organizations, directing engineering across several product groups. He's a deep technical builder across domains, having engineered sub-290ns trading systems for HFT firms and worked in cybersecurity spanning exploitation and security systems. He scored a perfect 180 on the LSAT and studied Computer Science and Real Estate at the University of Maryland.
Founders, titles and bios as the company published them. Photographs are our own copies of the ones on that record, so they do not break when the original link expires.
Against the 209 companies on file from Summer 2026. Median team 2, largest 30.
The nearest companies on file from the same batch, side by side with this one.
| Company | Batch | Sectors | Listed |
|---|---|---|---|
| Frontier Computing | Summer 2026 | Artificial Intelligence, Hard Tech, Hardware | 2026-08-31 |
| Ethos Space Resources | Summer 2026 | Hard Tech, Exascale Computing, Energy | 2026-08-23 |
| Spectre Intelligence | Summer 2026 | Biotech, Investing, Trading | 2026-08-22 |
| Edgerun | Summer 2026 | Robotics, Defense | 2026-08-21 |
| Allia Health | Summer 2026 | Artificial Intelligence, Healthcare, Mental Health | 2026-08-19 |
| Erinys (this page) | Summer 2026 | Artificial Intelligence, Legal, LegalTech | 2026-08-09 |
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The full profile
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Sourced from the company's Y Combinator directory entry. Figures are read directly from the source record; names have not been matched against other people.
