How to Run a Bulk Litigation Search Across Many Entities (2026)
How to run a litigation search across many entities at once in India: who needs it, how to prepare the list, the forums to cover, how to handle duplicates and name collisions at scale, and how to read a workbook of results. Last verified October 2026.
How-To Guide · Bulk Litigation Search
Searching one company's litigation is a known exercise. The problem changes shape when you have to search a hundred, or a thousand: a lending book up for annual review, a group with dozens of entities, a pipeline of acquisition targets, or a vendor master to screen. Doing that one name at a time, portal by portal, does not scale, and the two things that break first are coverage, a missed forum or a misspelt name, and consistency, results that cannot be compared across the list. A bulk litigation search is how you screen the whole list in one pass and get comparable, scored output. This guide shows who needs it, how to prepare the list, the forums to cover, how to handle duplicates and name collisions at scale, and how to read the result. Last verified October 2026.
- When: a portfolio review, group diligence, a vendor master, or a pipeline, any time the list is too large to do carefully by hand.
- Prepare the list: exact legal and former names, an identifier (CIN or PAN) where one exists, and the connected people to search.
- At scale: keep coverage and scoring consistent across every entity, and manage duplicates and name collision with a match confidence.
- Output: a comparable scored workbook per entity, so you sort by risk, clear the clean, and read the high and moderate ones.
01When you need a bulk search
A bulk search earns its keep whenever the number of names is too large to do carefully by hand. Common cases:
- Portfolio review by a lender or investor across a whole book of borrowers or holdings.
- Group diligence on a target with many subsidiaries, promoters and connected entities.
- Vendor or distributor screening across a large master list before onboarding or renewal.
- Pipeline screening, a first pass over many potential deals to decide where to look harder.
In each case the goal of the first pass is the same: screen everyone to the same standard, then spend human time only on the entities that show something. For the single-entity method this builds on, see finding all litigation against a company.
02Prepare the entity list first
The quality of a bulk search is set before the search runs, by the list. A clean list means fewer misses and fewer false hits. For each entity capture:
- The exact legal name and known former names.
- An identifier where one exists, a CIN or PAN, which anchors identity and cuts collision.
- The connected people and entities you also want searched, such as promoters, directors and group companies.
Confirm names and identifiers from corporate records first; a list of rough names produces a search you cannot trust. See searching litigation by PAN or CIN and checking related-party litigation.
03Coverage and consistency at scale
Two failures define a bad bulk search, and both come from scale.
With one name you can afford to check every portal by hand. With a thousand, a single skipped forum or inconsistent method is repeated a thousand times, and a missed case is the whole point of failure.
Coverage means every entity is searched across the same set of forums, from the district and commercial courts to the High Courts, the NCLT, the DRTs and the tax and consumer forums, so no entity is screened more lightly than another. Consistency means every entity is scored the same way, so you can rank the list and compare. A bulk search is only useful if both hold across the whole list.
04Duplicates and name collision
At scale, two data problems appear that a single search barely notices. The first is duplicates: the same matter can surface more than once across forums or name variants, and a raw count overstates the exposure. The second is name collision: with many common names in the list, a plain search attaches cases to the wrong entity.
Both are managed the same way, by resolving each finding to a specific entity and attaching a match confidence, so a high-confidence hit is separated from a possible namesake and duplicates are collapsed. See name collision in litigation search and how match confidence works.
05Reading a workbook of results
The output of a good bulk search is not one long list of cases, it is a comparable record per entity. A workbook that gives each entity a summary with a risk band, a sheet of its matters, its related parties and what was searched, lets you do the thing bulk screening is for: sort the whole list by risk and act on the top of it.
From there the workflow is simple. Clear the entities that come back clean, pull the high and moderate ones for a human to read, and set the ones you keep dealing with onto monitoring so new matters surface later. See what a litigation search report contains.
06What "nothing on record" means
Across a large list, honesty about a clean result matters more, not less. "Nothing on record" for an entity means no matching case was found in the registries searched, on the date searched, under the names and identifiers used. It is not proof that no case exists, and at scale a few clean results will be clean only because the name or identifier was imperfect.
This is why a match confidence on every finding, and a clear record of coverage per entity, are essential to a bulk search; without them a big clean list gives false comfort. None of this is legal advice.
07Where 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.
For the specific job of screening many entities at once, Claw runs ClawScore (at clawscore.clawlaw.in), its litigation and criminal-risk intelligence service. You give ClawScore a list of names, companies, promoters, directors and group entities, and for each one it returns every matter it finds across 9,102 courts, benches and forums in a scored Excel workbook: a Summary with a ClawScore risk band (Clean, Low, Moderate or High) so you can sort the whole list by risk, a Matters sheet, a Related parties sheet that surfaces connected people such as directors and guarantors, and a Coverage sheet per entity. Every finding carries a match confidence, which is what makes a bulk result trustworthy by separating real hits from namesakes and collapsing duplicates. For the entities you keep dealing with, ClawScore's Constant Monitoring watches the list and reports what is new, changed or closed. The search draws on 30 crore+ judgments, with Supreme Court decisions from 1950 and High Court decisions from 1990, returns results in under 5 seconds per name, and Claw does not use your data to train its AI models.
Create a FREE Claw account to run a first bulk litigation screen on a list of entities, and use case search across Indian courts to see matters across courts and tribunals in one place.
08Sources and further reading
- eCourts (court case status): ecourts.gov.in
- National Judicial Data Grid: njdg.ecourts.gov.in
- Ministry of Corporate Affairs (names, CIN and directors): mca.gov.in
- Claw: clawlaw.in
This guide is general information, not legal advice. Court data and procedure change, so confirm current findings and take professional advice before you act.
09Frequently asked questions
When do I need a bulk litigation search?
Whenever the number of names is too large to search carefully one at a time, such as a lender reviewing a whole book, group diligence on a target with many entities, screening a large vendor master, or a first pass over a pipeline of deals. The first pass screens everyone, then human time goes to the entities that show something.
How do I prepare the list?
Capture the exact legal name and known former names for each entity, an identifier such as a CIN or PAN where one exists to anchor identity, and the connected people and entities you also want searched. Confirm names and identifiers from corporate records first, because a list of rough names produces a search you cannot trust.
What breaks a bulk search at scale?
Coverage and consistency. A skipped forum or inconsistent method is repeated across every entity, and scoring that varies across the list makes it impossible to compare. Every entity should be searched across the same forums and scored the same way.
How are duplicates and name collisions handled?
By resolving each finding to a specific entity and attaching a match confidence, so a high-confidence hit is separated from a possible namesake and the same matter appearing across forums or name variants is collapsed rather than double-counted.
What does "nothing on record" mean across a large list?
For each entity it means no matching case was found in the registries searched, on the date searched, under the names and identifiers used. At scale a few clean results will be clean only because a name or identifier was imperfect, so a match confidence and a coverage record per entity are essential to avoid false comfort.
How does ClawScore run a bulk search?
You give ClawScore a list of names and for each one it returns every matter it finds across 9,102 courts, benches and forums in a scored Excel workbook with a risk band so you can sort the whole list by risk, a match confidence on each finding, and a coverage sheet per entity, plus optional constant monitoring for the entities you keep dealing with.