CaseYak uses machine-learning models to estimate motor-vehicle accident claim values and provides lead-generation tools for law firms. Lawyers must verify inputs and jurisdictional factors, protect client data and treat predictions as decision support rather than legal advice or a guaranteed outcome.
Use authorized, non-sensitive inputs and grant only necessary permissions. Configure privacy, retention, sharing, accessibility, disclosure, export, moderation and spending controls. Test representative cases, verify facts, calculations, citations, code and media, preserve originals and require accountable human approval before publishing or taking operational action.
The site provides public entry tools and paid legal-business offerings. Predictions, leads, API or plugin usage, firm size and support determine pricing.
AI output may be inaccurate, biased, derivative, insecure or misleading. Review consent, copyright, training and retention terms, renewals, refunds, platform rules and applicable law. Legal, financial, education, employment, identity, healthcare and customer-facing workflows require qualified human review.
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