A governed learning layer for AI agents — turns execution traces into reviewed memories, reusable skills, and evidence-backed training data.

Deterministic legal function operating system: routing, SLAs, approval matrix, escalation, and a board-ready operations pack. Synthetic data only.

Legal engineering portfolio: review-gated infrastructure for AI, SaaS, privacy and regulated markets using synthetic data, provenance and approval gates.

Cited GDPR Article 28 + Chapter V transfer checks; review packet with a gating state.

Review-gated context compiler — turn long-term content into multi-runtime agent context (CLAUDE.md, AGENTS.md, …) with PR/approve gates and before/after evaluation.

Public-safe legal operating layer for AI SaaS: contract intake, DPA triage, AI vendor review, launch governance and approval-gated risk reporting.

Enablement artifacts for Legal AI: partner briefings, associate hands-on, adoption questionnaires, and workflow discovery.

Supervised legal-operations workflow for typed intake, deterministic risk triage, reviewer routing and human-approved outputs.

Synthetic legal AI adoption cockpit with governance metrics, review gates, benchmark data, and presentation-ready reports.

Versioned legal AI contract review benchmark harness for clause coverage, risk severity, citation grounding and hallucination checks.

Draft-only MiCAR authorization co-pilot with guided intake, citation projection, dossier room, and review-gated workflow controls.