data/build-014-engine-v1.jsonSeven work layers, four allocation states, inherited human and AI controls, leak detection and jurisdictional boundary.
A tool may produce legal text, but responsibility does not move with the text. Research, interpretation, inference, strategy, approval, professional judgment and client authority require distinct allocations.
Research, creation, decisions, audits and plans are publicly structured without claiming that every release gate is complete.
This page exists so the durable record does not depend on conversation history. Research, decisions, generated artifacts, audits, limitations, media metadata, plans and canonical source paths are retained here as part of the build itself. A listed repository path proves that an implementation record was retained; it does not independently support a real-world factual claim.
5 of 5 listed retained paths have a public reader link on this archive page. Unlinked paths remain named for traceability but are not represented as publicly inspectable evidence.
data/build-014-engine-v1.jsonSeven work layers, four allocation states, inherited human and AI controls, leak detection and jurisdictional boundary.
Official guidance on competence, confidentiality, communication, supervision, candor and fees when lawyers use generative AI.
Grounds the lawyer’s independent professional judgment and candid advice.
Grounds reasonable measures, supervision and responsibility for nonlawyer assistance.
Audit seven legal-work layers, expose judgment leakage and export locally.
An interactive responsibility stack separates assistance from owned judgment.
Reusable legal-work allocation and supervision assessment.
The engine directly calls the human-review primitives and assessAIUseControls.
Strategy, final approval and professional judgment cannot be silently assigned to AI assistance.
Decisions allocated to the client are not relabeled lawyer or tool decisions.
The architecture defers to jurisdictional law, adopted rules, court orders, agreements and supervising counsel.
data/build-014-archive-v1.jsonRoutes, lineage, privacy and consumers.
data/build-014-privacy-support-v1.jsonClient-local state and jurisdictional support boundary.
data/build-014-freshness-performance-v1.jsonCurrent official ABA sources and offline operation.
tests/build014.spec.tsSupervised, leak, reset, export, lifecycle, 320px and B-layer coverage.
Complete static gates, Chromium/WebKit matrix, media, preview and exact-head certification.
015, 016, 044 and 093 consume cap:014.
CURRENT VERIFIED MEDIA / 30-second film · 358.5 KB
FINAL PROPOSITION / RESPONSIBILITY DOES NOT MOVE WITH THE TEXT.
SHA-256 3d23136849cbc05d50e496b0a5b0bbc0d4197f66ce941b27abcc718910780b5cReproducible from data/linkedin-film-specs-v1.json with scripts/render-linkedin-films.py. The website—not a chat attachment—is the canonical media source.apps/web/app/100-builds/014/a/LegalJudgmentLab.tsxapps/web/app/100-builds/014/b/JudgmentLayers.tsxpackages/release/src/decision-engines.tsdata/build-014-engine-v1.jsondata/build-014-archive-v1.jsondocs/builds/014/SPEC.mddocs/builds/014/ARCHIVE.mdtests/build014.spec.tsThese paths preserve the implementation record. Only items with an explicit public reader link are publicly inspectable here. A file path, working interface or internal engine is not independent support for a real-world claim; synthetic propositions and design reasoning remain labeled within the retained record.