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catalog / Legal & Compliance / Reporters Database (Free Law Project)
▣DatasetLegal & ComplianceFree

Reporters Database (Free Law Project)

Machine-readable database of U.S. legal reporters and their citation abbreviations, powering case-citation parsers like eyecite.

@ai-supply
Установки9.8k
⟳ upstream v3.2.41 · updated 2y ago
↗ Исходный репозиторий
← More Legal & ComplianceLegal & Compliance leaderboard →How we grade security →Source ↗
✓ Grade A · 100/100 · SafeSecurity assessment
✓No compromise signals2capabilities surfaced9of 20 OWASP controls clear
Email addresses present · expectedPhone number present · expected
scanned 1mo ago·osv · gitleaks · opengrep · picklescan + heuristics·full breakdown in the Security tab ↓

Reporters Database

A structured, machine-readable database of U.S. legal reporters — the volumes in which court opinions are published. It maps each reporter's canonical name, its many citation abbreviations and variant spellings, the courts and date ranges it covers, and its edition lineage. This is the reference data that citation parsers rely on to recognize and normalize case citations like "410 U.S. 113," and it powers the Free Law Project's eyecite tooling.

Key features

  • Canonical names, abbreviations and known variant spellings for U.S. reporters
  • Court, jurisdiction and date-range coverage metadata per reporter
  • Edition and reporter-lineage relationships for citation disambiguation
  • Clean JSON distributed as a versioned package, easy to load anywhere
  • Maintained by the Free Law Project and used in production by eyecite

Curated mirror of the open-source Reporters Database (BSD-2-Clause). Get it from the source.

Rating rank
#1
of 11 in Legal & Compliance
Install rank
#8
of 11 in Legal & Compliance
Security score
100/100 · A
safe
Security rank
#1
of 11 in Legal & Compliance
Installs
9.8k
cat avg 29k
This listing vs category average
Installs
this
cat avg
Security (of 100)
this
cat avg
Adoption trend
See the Legal & Compliance leaderboard →
✓ Security: Safe · 100100/100 · grade Ascanned 1mo ago
✓ no compromise signals2 risk-surface · 4/20 OWASP controls flagged

Compromise signals — malicious or tampered code (leaked secrets, backdoors, a dropped executable) — reduce the score, and known dependency CVEs carry a bounded penalty (they warrant review but never QUARANTINE — update the dependency to clear). Other dangerous-by-capability traits are risk surface, expected for some capabilities. Every finding is mapped to its OWASP control below.

Data card · high confidence (static)
jsoncsvtxtlicense: detected
PII surface: Email addresses present, Phone number present
33 files

Findings mapped to the OWASP Top 10 for LLM Applications (2025) and the OWASP Machine Learning Security Top 10. Expand any flagged control for the exact findings — compromise reduces the score; expected/risk-surface do not, except a known CVE, which carries a small bounded penalty (high/critical → Review).

OWASP Top 10 for LLM Applications
⚠LLM02Sensitive Information Disclosuremedium
Secrets, credentials or PII shipped inside the artifact.
•Email addresses present — contains email-like strings · freelawproject-reporters-db-bcae370/pyproject.tomlexpected
•Phone number present — contains phone number-like pattern (E.164 or formatted) · freelawproject-reporters-db-bcae370/reporters_db/data/laws.json (CWE-359)expected
⚠LLM08Vector and Embedding Weaknessesmedium
PII or plaintext source leakage in embedding/vector exports.
Embedding inversion/poisoning is largely runtime; static check covers PII in vector exports.
•Email addresses present — contains email-like strings · freelawproject-reporters-db-bcae370/pyproject.tomlexpected
•Phone number present — contains phone number-like pattern (E.164 or formatted) · freelawproject-reporters-db-bcae370/reporters_db/data/laws.json (CWE-359)expected
§LLM09MisinformationGovernance
Artifacts designed to produce false/deceptive output.
Detectable only by runtime behavioral evaluation; addressed via responsible-use attestation.
◷LLM10Unbounded ConsumptionRuntime-enforced
Unbounded loops/recursion causing DoS or runaway cost.
Enforced at runtime by the gateway (rate limits + spend caps + size caps); static check flags unbounded loops.
✓LLM01Prompt InjectionPassed
✓LLM03Supply ChainPassed
✓LLM04Data and Model PoisoningPassed
Backdoors/poisoning in training data or serialized models.
Behavioral poisoning needs model execution; static check covers unsafe serialization + dataset skew only.
✓LLM05Improper Output HandlingPassed
✓LLM06Excessive AgencyPassed
✓LLM07System Prompt LeakagePassed
OWASP Machine Learning Security Top 10
⚠ML02Data Poisoningmedium
Poisoned training datasets with triggers or anomalous distributions.
Static check covers trigger phrasing, PII and label skew; full poisoning detection is runtime.
•Email addresses present — contains email-like strings · freelawproject-reporters-db-bcae370/pyproject.tomlexpected
•Phone number present — contains phone number-like pattern (E.164 or formatted) · freelawproject-reporters-db-bcae370/reporters_db/data/laws.json (CWE-359)expected
⚠ML05Model Theftlow
Unlicensed re-distribution / license-incompatible derivatives.
Static check verifies license declaration; extraction throttling is runtime.
•No license signal — no SPDX id or license keyword found · freelawproject-reporters-db-bcae370/.github/dependabot.ymlrisk surface
§ML01Input Manipulation (Adversarial)Governance
Models vulnerable to adversarial perturbations.
Requires runtime robustness evaluation; addressed via publisher robustness attestation.
§ML03Model InversionGovernance
Training data reconstructable from a model's outputs.
Runtime/evaluation property; addressed via model-card data-provenance + DP attestation.
§ML04Membership InferenceGovernance
Determining whether a record was in the training set.
Runtime/evaluation property; addressed via overfitting disclosure + DP attestation.
§ML08Model SkewingGovernance
Models trained on skewed data producing biased output.
Requires fairness evaluation; addressed via model-card bias/limitations disclosure.
◷ML09Output IntegrityRuntime-enforced
Middleware tampering with model outputs in transit.
Gateway enforces TLS + response integrity; static check flags output-rewriting code.
✓ML06AI Supply ChainPassed
✓ML07Transfer Learning AttackPassed
Backdoored base models / LoRA adapters propagating to derivatives.
Backdoor detection needs behavioral probing; static check covers unsafe serialization + provenance.
✓ML10Model Poisoning (Weights)Passed
Tampered model weight files; integrity must be verifiable.
Static check enforces safe formats + records a content hash for downstream verification.
Other findings (4) · hygiene / uncategorized
•Unrecognized file type — '.gitignore' is not on the allowlist · freelawproject-reporters-db-bcae370/.gitignorerisk surface
•Unrecognized file type — '.?' is not on the allowlist · freelawproject-reporters-db-bcae370/LICENSErisk surface
•Unrecognized file type — '.in' is not on the allowlist · freelawproject-reporters-db-bcae370/MANIFEST.inrisk surface
•Unrecognized file type — '.ini' is not on the allowlist · freelawproject-reporters-db-bcae370/tox.inirisk surface
✔ verified source · pinned freelawproject-reporters-db-bcae370
Check against a policy

The same gate an agent runs before installing (POST /api/v1/trust/reporters-db-freelaw/check). Click a policy:

Consume Reporters Database (Free Law Project) programmatically. Authenticate with an API key or session — see Authorize an agent.

# Agents: CHECK BEFORE YOU INSTALL (no auth) — score, grade, level, capability manifest
curl https://ai-supply.store/api/v1/trust/reporters-db-freelaw

# Gate against your org policy (returns { pass, violations })
curl -X POST https://ai-supply.store/api/v1/trust/reporters-db-freelaw/check \
  -H "Content-Type: application/json" \
  -d '{"minGrade":"B","denyPermissions":["shell"],"denyUnknownEgress":true}'

# CLI
npx ai-supply add reporters-db-freelaw

# REST (install → download)
curl -X POST https://ai-supply.store/api/v1/listings/reporters-db-freelaw/install \
  -H "Authorization: Bearer $AIM_KEY"

# MCP tool
install_listing({ "slug": "reporters-db-freelaw" })
OpenAPI spec →
vlatest
✓ Security: Safe · 1001mo ago

Curated mirror — latest upstream source. See the repository for tagged releases.

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