--- name: legal-research-guide-0c2f2a4fd2fb description: "Legal research methods, case law analysis, and compliance tools" metadata: openclaw: emoji: "⚖️" category: "domains" subcategory: "law" keywords: ["law", "jurisprudence", "case law", "compliance analysis"] source: "wentor-research-plugins" --- # Legal Research Guide Conduct systematic legal research across jurisdictions, analyze case law, navigate statutory frameworks, and use computational legal tools for academic and practice-oriented research. ## Legal Research Frameworks ### IRAC Method The standard analytical framework for legal reasoning: | Step | Description | Example | |------|-------------|---------| | **Issue** | Identify the legal question | "Does web scraping of public data constitute a CFAA violation?" | | **Rule** | State the applicable legal rule | "The CFAA prohibits accessing a computer 'without authorization' or 'exceeding authorized access'" | | **Application** | Apply the rule to the facts | "In hiQ v. LinkedIn, the 9th Circuit held that scraping publicly available data does not violate the CFAA..." | | **Conclusion** | State the legal conclusion | "Therefore, scraping publicly available academic data likely does not violate the CFAA, though terms-of-service issues remain." | ### CREAC Method (For Academic Legal Writing) ``` C - Conclusion (state your thesis) R - Rule (present the legal rule with authority) E - Explanation (analyze how courts have interpreted the rule) A - Application (apply the rule to your specific scenario) C - Conclusion (restate and refine conclusion) ``` ## Legal Research Databases ### Primary Sources | Database | Coverage | Cost | Best For | |----------|----------|------|----------| | Westlaw (Thomson Reuters) | US, UK, EU, international | Subscription | Comprehensive case law, KeyCite citator | | LexisNexis | US, UK, international | Subscription | News integration, Shepard's citator | | Google Scholar (Case Law) | US federal and state courts | Free | Quick case lookup, citation tracking | | Casetext / CoCounsel | US courts | Subscription | AI-powered legal research | | CourtListener | US federal courts | Free | PACER alternative, bulk data | | EUR-Lex | EU law | Free | EU legislation, CJEU case law | | BAILII | UK, Ireland | Free | UK case law and legislation | | Justia | US law | Free | US case law, statutes, regulations | | HeinOnline | Historical legal materials | Subscription | Law journals, treaties, legislative history | ### Secondary Sources | Source | Content | Use | |--------|---------|-----| | Law reviews / journals | Scholarly analysis | Academic research, policy arguments | | Restatements | ALI compilations of common law | Authoritative secondary source | | Treatises | Comprehensive subject coverage | Deep dive into specific areas | | Legal encyclopedias (AmJur, CJS) | Broad legal summaries | Starting point for unfamiliar areas | | Practice guides | Practical how-to | Practitioner-oriented research | ## Citation Systems ### Bluebook (US Standard) ``` # Case citation Marbury v. Madison, 5 U.S. (1 Cranch) 137 (1803). Brown v. Board of Education, 347 U.S. 483, 495 (1954). # Statute citation 42 U.S.C. Section 1983 (2018). Cal. Civ. Code Section 1798.100 (West 2020). # California statute # Law review article Jane Smith, The Future of AI Regulation, 120 Harv. L. Rev. 456 (2024). # Book Richard Posner, Economic Analysis of Law 25 (9th ed. 2014). # Short form citations (after first full citation) Brown, 347 U.S. at 495. Smith, supra note 12, at 460. Id. at 462. # Same source as immediately preceding citation ``` ### OSCOLA (UK/Oxford Standard) ``` # Case citation Donoghue v Stevenson [1932] AC 562 (HL). R v Brown [1994] 1 AC 212, 237 (HL). # Statute citation Human Rights Act 1998, s 3. Data Protection Act 2018, s 170(1). # Journal article Jane Smith, 'The Future of AI Regulation' (2024) 120 Modern Law Review 456. # Book Richard Posner, Economic Analysis of Law (9th edn, Aspen 2014) 25. ``` ## Computational Legal Research ### Case Law Analysis with Python ```python import requests import json # Using the CourtListener API (free, open-source) BASE_URL = "https://www.courtlistener.com/api/rest/v3" def search_opinions(query, court="scotus", page_size=20): """Search case opinions via CourtListener API.""" response = requests.get( f"{BASE_URL}/search/", params={ "q": query, "type": "o", # opinions "court": court, "page_size": page_size, "order_by": "score desc" }, headers={"Authorization": "Token YOUR_API_TOKEN"} ) results = response.json() for case in results.get("results", []): print(f"[{case.get('dateFiled', 'N/A')}] {case.get('caseName', 'N/A')}") print(f" Court: {case.get('court', 'N/A')}") print(f" Citation: {case.get('citation', ['N/A'])[0] if case.get('citation') else 'N/A'}") print(f" URL: https://www.courtlistener.com{case.get('absolute_url', '')}") return results # Search for AI-related Supreme Court cases results = search_opinions("artificial intelligence", court="scotus") ``` ### Citation Network Analysis ```python import networkx as nx def build_citation_network(seed_case_ids, depth=2): """Build a citation network starting from seed cases.""" G = nx.DiGraph() visited = set() queue = [(cid, 0) for cid in seed_case_ids] while queue: case_id, level = queue.pop(0) if case_id in visited or level > depth: continue visited.add(case_id) # Get case metadata and citations resp = requests.get(f"{BASE_URL}/opinions/{case_id}/", headers={"Authorization": "Token YOUR_API_TOKEN"}) if resp.status_code != 200: continue case = resp.json() case_name = case.get("case_name", f"Case {case_id}") G.add_node(case_id, name=case_name, date=case.get("date_filed")) # Get citing opinions (who cites this case) for cited_id in case.get("opinions_cited", []): G.add_edge(case_id, cited_id) if level < depth: queue.append((cited_id, level + 1)) return G # Analyze: which cases are most cited (highest in-degree)? # These are the most authoritative precedents ``` ### Statutory Text Analysis ```python # Analyzing legislative text complexity import re from textstat import textstat def analyze_statute(text): """Compute readability metrics for statutory text.""" return { "flesch_reading_ease": textstat.flesch_reading_ease(text), "flesch_kincaid_grade": textstat.flesch_kincaid_grade(text), "gunning_fog": textstat.gunning_fog(text), "word_count": textstat.lexicon_count(text), "sentence_count": textstat.sentence_count(text), "avg_sentence_length": textstat.avg_sentence_length(text), "defined_terms": len(re.findall(r'"[A-Z][^"]*"', text)), "cross_references": len(re.findall(r'[Ss]ection \d+', text)) } # Example: Analyze a section of the GDPR gdpr_article_5 = """ Personal data shall be processed lawfully, fairly and in a transparent manner in relation to the data subject; collected for specified, explicit and legitimate purposes and not further processed in a manner that is incompatible with those purposes; adequate, relevant and limited to what is necessary in relation to the purposes for which they are processed. """ print(analyze_statute(gdpr_article_5)) ``` ## Research Areas in Law | Area | Key Topics | Interdisciplinary Connections | |------|-----------|------------------------------| | **AI & Law** | Algorithmic fairness, liability for autonomous systems, AI regulation | CS, philosophy | | **IP Law** | Patent, copyright, trade secret, open source licensing | Engineering, business | | **Privacy Law** | GDPR, CCPA, surveillance, data protection | CS, political science | | **Law & Economics** | Efficiency analysis of legal rules, behavioral law & economics | Economics | | **Comparative Law** | Cross-jurisdictional analysis, legal transplants | Political science | | **International Law** | Treaties, humanitarian law, trade law | International relations | | **Environmental Law** | Climate litigation, ESG regulation, environmental justice | Environmental science | | **Health Law** | Clinical trial regulation, health data, bioethics | Medicine, public health | ## Practical Research Workflow 1. **Frame the legal question** using IRAC or CREAC structure 2. **Search secondary sources** first (treatises, law reviews) for background 3. **Identify governing law** (federal vs. state, statutory vs. common law) 4. **Find controlling authority** (binding precedent in your jurisdiction) 5. **Shepardize / KeyCite** every case to ensure it is still good law 6. **Analyze and synthesize** cases by extracting rules, holdings, and reasoning 7. **Consider policy arguments** drawing on law and economics, empirical legal studies, or comparative law perspectives 8. **Update regularly** as law changes frequently (set up alerts on Westlaw/Lexis) ## Top Academic Venues | Journal | Rank | Focus | |---------|------|-------| | Harvard Law Review | T1 | General | | Yale Law Journal | T1 | General | | Stanford Law Review | T1 | General, tech law | | Columbia Law Review | T1 | General | | Journal of Legal Studies | T1 | Law & economics | | Journal of Empirical Legal Studies | T1 | Empirical methods | | Computer Law & Security Review | Field | Technology law | | Berkeley Technology Law Journal | Field | Tech, IP | --- Source attribution: wentorai Original project: https://github.com/wentorai/research-plugins/blob/bf44b3cd617fa94c8a1b254c5d1987142ca3d631/skills/domains/law/legal-research-guide/SKILL.md License: MIT License information: https://opensource.org/license/mit Original upstream instructions; downloaded from Dave AI. ## Upstream license notice MIT License Copyright (c) 2026 Wentor AI Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. # Dave AI resource metadata Creator / publisher: wentorai Original project: https://github.com/wentorai/research-plugins/blob/bf44b3cd617fa94c8a1b254c5d1987142ca3d631/skills/domains/law/legal-research-guide/SKILL.md Attribution basis: Source repository record Fields of work: Education & Research, Legal Roles: Compliance Officer, Legal Operations, Researcher Specialties: Specialty not specified Tools: Bailii, Casetext, Courtlistener, Eurl Ex, Google Scholar, Heinonline, Justia, Lexisnexis, Westlaw Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: 81b724521237141507fa18af88c87bf9cce4121f5395b9d6594116ae11cf8112