data/build-015-engine-v1.jsonSeven-factor candidate assessment, four bounded dispositions, human review, and explicit productization boundary.
Repetition is evidence of a pattern, not permission to automate judgment. Reusable structure must be separated from matter facts, confidentiality, legal conclusions, strategy, approval, and client authority.
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.
0 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-015-engine-v1.jsonSeven-factor candidate assessment, four bounded dispositions, human review, and explicit productization boundary.
Competence remains required when selecting and using methods and technology.
Confidentiality constrains the information and systems used in repeated legal work.
Supervision and responsibility remain with authorized humans.
Scores repeated tasks and exposes safe, internal, supervised, and prohibited dispositions.
An interactive assembly line reveals where matter work becomes governed structure.
Reusable candidate scoring and productization-boundary assessment.
Frequency supports investigation but cannot move professional responsibility or expand who may provide legal services.
Inputs, fields, source rules, verification steps, handoffs, records, and review gates may become bounded systems.
Matter conclusions, strategy, approval, confidential information, and client decisions stay with authorized humans.
Some useful systems are appropriate only inside an access-controlled supervised environment.
data/build-015-archive-v1.jsonRoutes, lineage, privacy, and lifecycle state.
data/build-015-privacy-support-v1.jsonClient-local processing and professional boundary.
data/build-015-freshness-performance-v1.jsonOfficial ABA sources and offline deterministic operation.
tests/build015.spec.tsCandidate, unsafe collapse, reset, export, lifecycle, 320px, and paired-visual coverage.
Complete local static gates, browser matrix, Vercel preview, and deployment verification; defer GitHub-hosted jobs until Actions capacity returns.
Build 093 consumes cap:015.
CURRENT VERIFIED MEDIA / 30-second film · 364.4 KB
FINAL PROPOSITION / FIND WHICH RECURRING SUPERVISED LEGAL TASKS CAN SAFELY BECOME REUSABLE PRODUCTS OR SYSTEMS.
SHA-256 5e5ef6a04ac7f75d8816b6b3ebeeaf5f1e8b20c54a05815f4e1d423e1aeef1fdReproducible 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/015/a/LegalProductLab.tsxapps/web/app/100-builds/015/b/ProductAssembly.tsxpackages/release/src/decision-engines.tsdata/build-015-engine-v1.jsondata/build-015-archive-v1.jsondocs/builds/015/SPEC.mddocs/builds/015/ARCHIVE.mdtests/build015.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.