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| 법률 내용 분석× | 교리적 법률 연구× | |
|---|---|---|
| 분야 | 현장 조사법 | 현장 조사법 |
| 계열 | Process / pipeline | Process / pipeline |
| 기원 연도≠ | 1940s–1970s (applied systematically to legal texts) | 19th century (systematised ~1860s–1880s in common law jurisdictions) |
| 창시자≠ | Interdisciplinary; foundational content analysis by Harold Lasswell (1940s); applied to legal texts by empirical legal scholars from the 1970s onward | Common law tradition; systematised by jurists such as A.V. Dicey and John Austin |
| 유형≠ | Systematic qualitative-quantitative text analysis | Legal-analytical research method |
| 원전≠ | Krippendorff, K. (2004). Content Analysis: An Introduction to Its Methodology (2nd ed.). Sage Publications. ISBN: 978-0761915454 | Hutchinson, T. (2013). Researching and Writing in Law (3rd ed.). Thomson Reuters. ISBN: 9780455229829 |
| 별칭 | LCA, legal text analysis, jurimetric content analysis, statutory content analysis | black-letter law research, legal doctrine analysis, analytical jurisprudence, traditional legal scholarship |
| 관련 | 6 | 6 |
| 요약≠ | Legal content analysis applies the systematic procedures of content analysis to legal texts — statutes, regulations, judicial opinions, treaties, and legal commentaries — in order to identify patterns, themes, and trends across a corpus of legal material. It bridges qualitative legal scholarship and quantitative social-science methods, enabling researchers to draw reproducible, evidence-based conclusions about how law is written, applied, or has changed over time. | Doctrinal legal research is the foundational methodology of legal scholarship. It systematically identifies, reads, and analyses authoritative legal sources — statutes, case law, constitutional texts, and regulations — to describe, explain, and critique the content and internal logic of legal doctrine. By working within the accepted hierarchy of legal sources, it answers the question 'What is the law?' with analytical rigour and interpretive precision, producing descriptions of settled doctrine and arguments for how ambiguities should be resolved. |
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