/**
 * ABA Model Rules Compliance Pack (Generative AI framework)
 *
 * Primary source: ABA Formal Opinion 512 (29 July 2024). Applies the
 * existing ABA Model Rules of Professional Conduct to generative AI
 * use by lawyers. State bar adoption and supplemental guidance varies;
 * Pax1 treats ABA as the anchor pack, with the Regulatory Tracker
 * agent layering state-specific overlays (CA, FL, NY, DC, PA, MI,
 * TX, WA, VA, NC, NJ and others).
 *
 * Core rules implicated:
 *   - Rule 1.1 Competence (cite-check, verification)
 *   - Rule 1.3 Diligence
 *   - Rule 1.4 Communication (client informed consent for AI use)
 *   - Rule 1.5 Fees (no billing for time not spent)
 *   - Rule 1.6 Confidentiality (no outbound to retaining / training
 *     providers without consent)
 *   - Rules 1.7-1.9 Conflicts (per-matter isolation)
 *   - Rule 3.3 Candor to the Tribunal (hallucinated citations)
 *   - Rules 5.1-5.3 Supervision (supervising-lawyer gate)
 *   - Rule 5.5 Unauthorized Practice of Law (jurisdiction scope)
 *   - Rules 7.1-7.3 Marketing (truthfulness of AI-generated marketing)
 *
 * No federal statute; enforcement via state bars. Sanctions for Rule
 * 3.3 violations also reachable via FRCP 11 and 28 USC 1927.
 *
 * @connexum/ai-governance
 */
import { CompliancePack } from './index';
import { CategoryClassifiers } from '../classification/pack-driven-classifier';
/**
 * ABA (American Bar Association) Model Rules category classifiers.
 * Governs AI use in legal practice: privilege, work-product, and
 * client confidentiality under Model Rules 1.1, 1.6, 5.3.
 */
export declare const ABA_CATEGORY_CLASSIFIERS: CategoryClassifiers;
export declare const ABA_PACK: CompliancePack & {
    categoryClassifiers: CategoryClassifiers;
    subjectKeyedCategories: string[];
};
//# sourceMappingURL=aba.d.ts.map