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Legal Entity

An entity which U.S. law recognizes as having an identity and rights. Legal entities can be either natural persons or registered entities such as businesses and governmental bodies.

A legal entity may be associated with one or more registered entities (the legal entities that are registered with individual states), and may do business under one or more brands. Legal entities may also file taxes using a TIN, hold roles at other businesses, and appear on government watchlists.

GraphQL type: LegalEntity

Example

Starbucks Corporation is a legal entity — the registered corporate structure that owns the Starbucks brand and in which shareholders own equity.

Description​

The details of the bankruptcy filing (chapter_type, filing date and case number etc.) a legal entity has ever filed. All bankruptcy cases are handled in federal courts under rules outlined in the U.S. Bankruptcy Code.

Pricing tier: Premium

FieldNameTypeDescription
Debtor Namedebtor_namestringThe debtor's name on the filing.
TrusteetrusteestringThe trustee on the filing.
JudgejudgestringName of the bankruptcy court judge presiding over the case.
Filing Datefiling_datedateThe date the bankruptcy was filed.
Chapter Typechapter_typestringBankruptcy petition type, i.e, reorgainzation for 11, liqidation for 7, etc.
Case Numbercase_numberstringThe full US District Court docket number for bankruptcy case.
PetitionpetitionstringNature of petition, i.e, "voluntary" or "involuntary".
Entry Dateentry_datedateDate when the case was entered.
Date Converteddate_converteddateDate when the case was converted from chapter 11 to chapter 7.
Date Dismisseddate_dismisseddateDate when the case was dismissed from court.
Date Terminateddate_terminateddateFinal docket entry date, bankruptcy case closed.
Debtor Discharged Datedebtor_discharged_datedateCourt enters the date when the plan is fulfilled and debtor has completed plan repayments.
Plan Confirmed Dateplan_confirmed_datedateDate when the plan was confirmed.
IDidlong
First Observed Datefirst_observed_datestring
Last Observed Datelast_observed_datestring
RankrankintegerDetermines the display order of the attribute, with lower values shown first

Description​

These are entities which U.S. law recognizes as having an identity and rights. They can be either natural persons, or artificial entities such as businesses and governmental bodies.

Pricing tier: Free

FieldNameTypeDescription
NamenamestringThe legal entity's name.
Legal Entity Typelegal_entity_typestringThe legal form of the entity. This can either be "Person", for natural persons, or for business entities one of a number of legal forms.
Record Countrecord_countlongTotal number of upstream source records linked to this legal entity.
Record Sourcesrecord_sourcesarrayDistinct titles of the datasets the linked records came from.
Record Tagsrecord_tagsarrayDistinct tags across all linked records.
Record Tag Countsrecord_tag_countsmap(string, long)Number of linked records per tag.
Record Source Countsrecord_source_countsmap(string, long)Number of linked records per source dataset.
IDidlong
First Observed Datefirst_observed_datestring
Last Observed Datelast_observed_datestring
RankrankintegerDetermines the display order of the attribute, with lower values shown first

Description​

These are entities which U.S. law recognizes as having an identity and rights. They can be either natural persons, or artificial entities such as businesses and governmental bodies.

Pricing tier: Free

FieldNameTypeDescription
Legal Entity Typelegal_entity_typestringThe legal form of the entity. This can either be "Person", for natural persons, or for business entities one of a number of legal forms.
IDidlong
First Observed Datefirst_observed_datestring
Last Observed Datelast_observed_datestring
RankrankintegerDetermines the display order of the attribute, with lower values shown first

Verification Tier​

Description​

A tiered grouping of the verification evidence Enigma has gathered for a legal entity, alongside the underlying signals that drove the grouping. Each tier corresponds to a level of independence and resistance to manipulation in the evidence: higher tiers require evidence that comes from independent third parties and is harder for an actor to fabricate.

How to act on a given tier — for example, what threshold should gate onboarding or what should trigger manual review — depends on the policy and risk appetite of the consuming application. The per-tier signals are exposed alongside the overall tier so applications can either use the tier directly or compose their own logic on top of the signals.

Tiers​

The verification_tier field reflects the strongest tier for which the legal entity has at least one positive signal.

  • tier_3: At least one signal that is hard to manipulate and comes from an independent third party is present — for example, a verified open operating location, sustained card-transaction activity with positive revenue over a twelve-month period, a long and dense customer review history across active locations, or a record sourced from a government agency.
  • tier_2: Signals that can still be fabricated but require meaningful effort are present — customer reviews across active operating locations or a working website associated with the legal entity's brands.
  • tier_1: Only signals that an actor could produce quickly and with little effort are present — corporate registration or an Employer Identification Number (EIN).
  • none: Reserved. Not produced in the current implementation: the universe is gated to legal entities with a registration whose latest status is active or unknown, so every output row reaches at least Tier 1.

Pricing tier: Premium

FieldNameTypeDescription
Verification Tierverification_tierstringStrongest tier of evidence for the legal entity. One of tier_3, tier_2, tier_1.
Tier 1 Signalstier_1_signalsstructTier 1 evidence — corporate registration and EIN.
Tier 2 Signalstier_2_signalsstructTier 2 evidence — reviews at active locations and working websites.
Tier 3 Signalstier_3_signalsstructTier 3 evidence — Open locations, sustained card transactions with positive revenue, substantial review history at active locations, and government records.
IDidlong
First Observed Datefirst_observed_datestring
Last Observed Datelast_observed_datestring
RankrankintegerDetermines the display order of the attribute, with lower values shown first

Relationships​

Legal Entity connects to other entities in the Enigma graph:

DirectionRelationshipTarget Entity
→appears onWatchlist Entry
→does business asBrand
→files taxes usingTaxpayer Identification Number (TIN)
→is affiliated withLegal Entity
→is associated withRecord
→is flagged byWatchlist Entry
→is mentioned inMedia Content
→licensesBrand
→ownsBrand
→owns locationOperating Location
→performsRole
→receives mail atAddress
←is instance ofPerson
←is instance ofRegistered Entity

View all relationships →