Chive provides signed JSON evidence records that document AI‑influenced decisions for regulated industries, ensuring the output meets the self‑authentication requirements of FRE 902(13) and California’s evidentiary statutes (Cal.Evid.Code §§ 1552–1553). By generating court‑admissible proof of AI involvement, the service helps organizations defend against liability and satisfy audit requirements under new California AI civil‑liability laws. The solution is built with bar‑credentialed certification to support legal defensibility.
Funding
Funding not disclosed
Founders
Product
Problem
Regulated organizations that use AI to make decisions face legal risk because current laws require admissible, tamper‑evident documentation of each AI‑influenced outcome. Without such records, courts and regulators cannot verify the decision process, leaving companies vulnerable to liability and compliance penalties.
Solution
Chive creates cryptographically signed JSON evidence records that capture AI‑influenced decisions at the moment they occur. Each record includes a contemporaneous attestation from the qualified human reviewer, ensuring the documentation is both authentic and complete. The records are designed to meet Federal Rule of Evidence 902(13) self‑authentication and California’s evidentiary statutes (Cal.Evid.Code §§1552–1553), providing bar‑credentialed certification for court admissibility. By acting as a “flight recorder” for AI systems, Chive enables organizations to produce defensible evidence quickly, supporting or refuting liability claims in litigation or regulatory reviews. The service integrates with existing AI platforms to automatically generate and store these records, eliminating manual paperwork and reducing the risk of non‑compliance.
Target Audience
Primary customers are compliance, legal, and risk officers at California‑based insurance carriers, mid‑tier public accounting firms, and SEC‑registered investment advisers that rely on AI for regulated decision‑making.
Features
- Cryptographically signed JSON evidence records generated contemporaneously with each AI‑influenced decision
- Built‑in human reviewer attestation captured at record creation, not added retroactively
- Compliance with FRE 902(13) self‑authentication and California evidentiary statutes §§1552–1553
- Bar‑credentialed certification that validates the record’s admissibility in court and before regulators
- API integration layer that connects to existing AI workflows to automate evidence capture
- Tamper‑evident storage and audit trail ensuring integrity of the documentation over time