Connect case evidence and litigation strategy in a shared AI workflow
Cobbery is a litigation-focused AI platform that presents its Gene system as a way to work with case information and developing strategy. The official site emphasizes a shared record of facts, production material and legal thinking rather than a disconnected series of generic prompts. Its intended users are litigation teams that need to understand how new evidence affects a matter over time. The product is positioned around the working context of a case, including its themes, hypotheses and unresolved questions.
The described workflow helps teams examine whether facts strengthen or weaken an existing theme. It also supports testing hypotheses and looking for contradictions that deserve closer investigation. Those activities can inform preparation for depositions, cross-examination or expert review. The value depends on connecting findings back to the actual case material. A plausible explanation from an AI system is not itself evidence, and a lawyer should inspect the underlying record before relying on a proposed interpretation in professional work.
Cobbery describes an email-oriented workflow and a case workspace designed to keep analysis near the way counsel already works. Teams can introduce matter information, ask questions and revisit earlier thinking as new filings or production arrive. The website also discusses expert involvement and the preparation of documented findings. These are litigation-support capabilities, not a promise that the software will determine a winning argument or replace the responsible professional. The specific scope of connected sources and expert services should be confirmed during onboarding.
The provider describes matter-specific infrastructure and restrictions around agent access, while its privacy policy explains the information collected for accounts and legal matters. A prospective customer should review those arrangements against the firm's own confidentiality and access requirements. Public pricing and a general API were not established on the reviewed pages. A practical trial would use an appropriately authorized matter, a defined question and a known evidence set, then assess the traceability and usefulness of the resulting analysis before extending the workflow to more cases.
