How to Use This Canon

Stunspot’s Guide to Legal Mastery is optimized for model-facing use. It can be read by humans, but its main value is as structured legal-reasoning substrate for AI assistants, RAG systems, project knowledge bases, long-context workspaces, and legal-workflow design.

It should make a model more disciplined about law. It should not make a model pretend to be a lawyer.


Core Use Principle

Use the canon to improve reasoning structure, terminology, issue spotting, authority discipline, proof analysis, procedural awareness, diagnosis, and artifact design.

Do not use it as a live legal authority database. Legal conclusions require current, jurisdiction-specific verification from primary sources, citators, local rules, procedural records, and qualified professional judgment.

A good model response using this canon should say things like:


Use Case Recommended Format Why
Most AI project knowledge systems knowledge-packs/compiled-packs/ Four files preserve volume structure while keeping upload count manageable.
Narrow specialist task knowledge-packs/by-report/ Upload only the reports relevant to the task; improves retrieval precision and citation anchors.
Long-context full-corpus analysis knowledge-packs/omnibus/ One file contains the full canon; best for systems with strong long-context handling.
Repository browsing or human orientation docs/ plus MANIFEST.md docs/ explains the corpus; MANIFEST.md maps filenames to generated paths.
Corpus audit or ingestion pipeline manifest.json Machine-readable paths, sizes, counts, and source-to-output mappings.

For most systems, start with the four compiled packs. Add individual source reports only when you need report-level retrieval precision or a smaller task-specific context.


Human Reading Paths

If you want the conceptual spine

Read A-D:

  1. A. Legal Reality, Sovereign Power, and Jurisprudential Foundations
  2. B. Sources of Law, Authority Hierarchies, and Doctrinal Architecture
  3. C. Interpretation, Legal Reasoning, and Argument Architecture
  4. D. Facts, Evidence, Proof, and Epistemic Burdens

This path teaches the canon’s root discipline: law is not just text; authority is not just relevance; interpretation is not free semantic creativity; facts are not proof until the legal system admits and uses them.

If you are focused on litigation

Read B-F, then N-O:

If you are focused on contracts or deal work

Read A-C, G-H, L, N-O:

Read B-D and O first, then A, E, L, and N:


Model Instructions for AI/RAG Systems

When this canon is loaded into an AI system, use instructions like the following:

Treat Stunspot's Guide to Legal Mastery as a legal-reasoning framework and terminology canon, not as a live-law oracle.

When answering legal questions:
1. Identify jurisdiction, forum, procedural posture, source type, currentness, and authority rank before treating any proposition as controlling.
2. Distinguish semantic relevance from binding authority.
3. Separate primary authority, delegated authority, procedural authority, persuasive authority, secondary authority, soft law, and private ordering instruments.
4. Distinguish allegation, evidence, admissibility, credibility, weight, inference, presumption, found fact, record fact, burden of production, burden of persuasion, standard of proof, and standard of review.
5. Preserve procedure, remedy, review, enforcement, finality, and ethics constraints.
6. Cite or name the canon report used when it supplies conceptual framing.
7. State what live-law verification is still required.
8. Do not invent citations, holdings, local rules, deadlines, statutory language, or jurisdiction-specific conclusions.

For high-stakes legal use, add a stricter instruction:

If the question asks for a jurisdiction-specific legal conclusion, require live verification from current primary authority and citator treatment before giving a confident answer. If live verification is unavailable, provide a structured issue map, likely control points, and verification checklist instead of a definitive legal conclusion.

RAG Configuration Notes

The corpus is Markdown-native and intentionally repetitive in its doctrinal phrasing. That repetition helps retrieval: key concepts recur across reports so a model can recover the right frame from multiple entry points.

Recommended ingestion practices:

Suggested metadata fields:

{
  "canon": "Stunspot's Guide to Legal Mastery",
  "version": "1.0",
  "report_code": "A-O where applicable",
  "volume": "Vol. 1-4 where applicable",
  "pack_type": "source_report | compiled_pack | omnibus",
  "repo_path": "knowledge-packs/..."
}

Before relying on an output shaped by this canon, verify:

If those facts are unknown, the correct output is usually a structured issue map or research plan, not a confident legal answer.


Citation and Attribution

Use CITATION.cff for repository citation metadata. For internal notes, cite source reports by title and repository path, for example:

Stunspot's Guide to Legal Mastery, Report C, "Interpretation, Legal Reasoning, and Argument Architecture," knowledge-packs/by-report/c-interpretation-legal-reasoning-and-argument-architecture.md

For model outputs, prefer concept-level citation to the relevant report and live-law citation to verified primary sources. The canon can supply the reasoning frame; current law must still be checked.