Entity-Based Legal Checks: Company, Director, Party and Vendor (2026)

Published on: October 13, 2026
Last updated: 13 July 2026

What an entity-based legal check is: instead of looking up one case, you start from an entity (a company, a director or promoter, an opposing party, or a vendor) and pull every case and legal signal tied to it across courts, tribunals and regulators. This explainer covers the four entity types and how this differs from case-by-case search. Last verified October 2026.

Explainer · Litigation Due Diligence

An entity-based legal check turns the usual research question around. Instead of asking "what happened in this case", you ask "what has ever happened to this entity in court". You start from a name, a company, a director or promoter, an opposing party, or a vendor, and pull every case, order and legal signal tied to it across the court system. This is how diligence, risk and onboarding teams actually work, because they rarely have a case number to begin with. They have a counterparty and a decision to make. This explainer sets out what an entity-based check is, the four entity types people run most, and how it differs from ordinary case-by-case search. Last verified October 2026.

The short answer
  • What it is: an entity-based legal check starts from a name (a company, director, party or vendor) and finds all litigation and legal risk tied to it, rather than looking up one known case.
  • Four types: company, director or promoter, opposing party, and vendor or supplier, each with its own sources.
  • Difference: case search needs a case number and returns one matter; an entity check needs only a name and returns a portfolio across forums.
  • Hard part: matching the cases to the right entity, since common names and similar company names cause misses and mix-ups.

01What an entity-based legal check is

An entity-based legal check begins with an entity and ends with a list of everything legal that touches it. You give the name of a company, a person or a vendor, and the check returns the cases it is a party to, the forums where they are pending or decided, and related signals such as insolvency filings, regulatory action or disqualification records.

The idea in one line

Start from who you are dealing with, not from a case number, and find every matter that name is caught up in.

This matches how most legal risk questions arise. A bank is about to lend. A company is about to sign a vendor. An investor is about to buy a stake. A law firm is about to act against an opponent. In each case there is no known case to look up. There is a counterparty, and a need to know what that counterparty is carrying.

02The four entity types

In practice, entity-based checks fall into four common types. Each has its own sources and its own traps.

EntityWho runs itWhat it looks for
CompanyLenders, investors, counterpartiesCases for and against the company across courts, tribunals and regulators
Director or promoterInvestors, compliance, lendersPersonal-name litigation, disqualification and regulatory default signals
Opposing partyLitigators and in-house teamsThe other side's litigation history and pattern of conduct
Vendor or supplierProcurement and onboarding teamsLitigation, insolvency and regulatory trouble before a contract is signed

Each type has a dedicated workflow. For a company, see how to run a litigation background check on an Indian company. For an individual, see how to check the litigation history of a director or promoter. For a supplier, see how to do litigation due diligence on a vendor. The underlying skill is the same; what changes is the source list and the matching problem.

03How it differs from case-by-case search

Ordinary case search starts from a known case: you have a number, a title or a citation, and you pull that one matter. An entity-based check starts from a name and has to find the cases in the first place. The difference changes everything about how you work.

  • Input: case search needs a case identifier; an entity check needs only a name.
  • Output: case search returns one matter; an entity check returns a portfolio of matters across many forums.
  • Risk: case search risks pulling the wrong citation; an entity check risks missing cases or mixing up two people or companies with similar names.

Both are needed. You use an entity check to build the list of matters, then you use a litigation check and case search to read each one. To understand the broader idea, see what a litigation check is.

04The hard part: matching the right entity

The single biggest challenge in an entity-based check is making sure the cases you find actually belong to your entity. Indian court records are full of common names, slight spelling differences, and companies with similar or identical trading names. A careless search either misses real cases or wrongly attaches someone else's cases to your counterparty.

Good practice is to confirm the match using more than the name: a company identification number, a registered address, a director set, or the role a party played in the case. For a deeper look at this problem, see entity matching and name collisions in litigation search. Getting the match right is what separates a reliable check from a misleading one.

05Where Claw fits

Claw is an all-in-one legaltech platform for Indian advocates, law firms, and corporate legal teams, combining AI-based case search, an AI legal assistant (Legal GPT), case management, and compliance automation across all Indian courts and tribunals.

An entity-based check lives or dies on reach and speed. Claw tracks cases, orders and hearings across 9,102 courts, benches and forums, so a single entity search can reach district courts, High Courts, tribunals and regulators at once rather than one portal at a time. You can search more than 30 crore judgments, with Supreme Court rulings from 1950 and High Court rulings from 1990, and get results in under 5 seconds, then follow any live matter by party or advocate name. Claw does not use the documents you upload to train its AI models.

Create a free Claw account to run an entity-based check on a company, director, party or vendor and see the matters tied to that name. To read any single matter, use case search across Indian courts.

06Sources and further reading

This explainer is general information, not legal advice. Check official records and take advice from counsel before you rely on a check for a decision.

07Frequently asked questions

What is an entity-based legal check?

An entity-based legal check starts from a named entity, such as a company, director, opposing party or vendor, and finds all litigation and legal risk connected to that name across courts, tribunals and regulators. It answers "what has happened to this entity" rather than "what happened in this case".

What are the four entity types?

The four common types are a company, a director or promoter, an opposing party, and a vendor or supplier. Each is run by different teams, from lenders and investors to procurement and litigators, and each has its own sources and matching traps.

How is it different from case search?

Case search starts from a known case number or citation and returns that one matter. An entity-based check starts from a name and must find the cases in the first place, returning a portfolio of matters across many forums. You use the entity check to build the list, then case search to read each matter.

What is the biggest risk in an entity-based check?

The biggest risk is matching. Common personal names and similar company names mean a search can either miss real cases or wrongly attach someone else's cases to your entity. Good practice confirms the match using a company number, address, director set or the party's role, not the name alone.

Can I run an entity-based check in Claw?

Yes. Claw lets you search a company, director, party or vendor name across more than 30 crore judgments, with results in under 5 seconds, and track matters across 9,102 courts, benches and forums. It researches and tracks the matter but does not give legal advice.

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