Problem

Cobbery addresses the labor-intensive, expensive work of litigation discovery and case synthesis. Its premise is that litigators can spend 60–70% of their time reviewing documents and synthesizing information instead of developing strategy, while firms spend heavily on junior-associate hours for repetitive work. The core economic pain is especially acute in large matters, where the cost of reviewing huge data sets delays the point at which a team is ready for final review and strategic decision-making.

The killer use case is converting collected records into actionable litigation intelligence: finding responsive material, testing theories, identifying contradictions, and preparing for depositions and expert work. Cobbery’s materials position this as a way to make discovery less of a time-and-money sink while preserving attorneys’ control over responsiveness, privilege, and confidentiality decisions.

Product / Service

Cobbery provides AI-native litigation agents, centered on Gene, which it describes as a teammate rather than a standalone tool. Gene is staffed on matters and evolves with the case: it collaborates with the trial lead on themes and strategy, maintains a shared view of the record and work product, flags facts that strengthen or weaken theories, identifies appellate issues, and anticipates opposing-counsel moves. The product works through the team’s existing email workflow and is intended to perform months of associate and expert research in under an hour.

The delivery model combines autonomous analysis with human legal oversight. Agents test hypotheses and surface finished findings, while attorneys and experts validate conclusions and retain responsibility for final judgments. Cobbery also emphasizes air-gapped AI, SOC 2 controls, isolated infrastructure, and the claim that it cannot see customer files or conversations, addressing the security and privilege concerns that accompany legal AI.

Market

Cobbery competes in legal technology, specifically AI-assisted e-discovery, litigation-support, and case-strategy software for law firms and corporate legal departments. Its competitive set includes established platforms such as RelativityOne, Everlaw, and DISCO, which address legal-data organization, e-discovery, document analysis, and litigation workflows. Cobbery’s stated differentiation is that Gene remains involved throughout the matter and extends beyond document review into trial themes, strategic synthesis, contradiction detection, depositions, and expert preparation.

Public evidence indicates early commercial validation rather than a clearly documented revenue scale. Cobbery’s site names Guardant Health and litigation firm Keller Anderle Scolnick LLP among its users or endorsers, while a launch case study reports 40% discovery-time savings and adoption across multiple matters among beta users. Y Combinator lists Cobbery as active, founded in 2020, with its Summer 2022 batch and a four-person San Francisco team. The reviewed public materials do not disclose revenue, pricing, or funding, so Cobbery is best characterized as an active early-stage company with customer traction but an undisclosed revenue status—not definitively pre-revenue.