When top law firms face AI hallucinations in filings, it exposes a trust gap that erases productivity gains. Korekt adds a source-backed, real-time fact-checking layer into any AI workflow—verifying citations, figures, and stats against primary sources via a browser extension and API. Its freemium SaaS model scales from individual seats to enterprise integrations.

• Sullivan & Cromwell had to apologize to a federal judge over AI-hallucinated citations in a court filing, showing manual fact-checking still erases AI's productivity gains in high-stakes fields.
• Korekt acts as an LLM-agnostic verification layer (API or browser extension) that checks citations, figures, and stats against primary sources like Westlaw or Bloomberg.
• Its business model layers a freemium "Hallucination Grader" and open-source validation library to drive adoption, then monetizes via Pro, Business, and usage-based Enterprise API tiers.
• Its main defense against in-house AI suites from Thomson Reuters and LexisNexis is staying LLM-neutral while building workflow lock-in once embedded in a lawyer's drafting process.

Objection.ai offers a streamlined service for disputing public statements by connecting users with expert investigators and AI adjudication. It cuts legal costs and resolution time, maintaining a public record and author honor scores. During investigations, disputed claims are flagged online to slow misinformation.

• Objection.ai replaces costly, slow defamation lawsuits (potentially years and $500K+) with an AI-and-investigator process costing low thousands and taking days.
• Its "Fire Blanket" feature flags disputed statements across the web while under investigation, slowing misinformation spread before a verdict is reached.
• An "Honor Index" publicly ranks public figures and outlets (e.g., Bernie Sanders, NYT, WSJ, Candace Owens) by how often their claims survive scrutiny, rewarding corrections and penalizing ignored objections.