How to Screen Litigation for Bank and NBFC Borrowers

How-To Guide · BFSI Litigation Screening

Updated for 2026 · Claw Editorial

A credit bureau score tells a lender how a borrower has repaid debt in the past. It does not tell a lender that the same borrower is a defendant in a cheque bounce case, is facing a recovery suit from another lender, or has a promoter fighting an insolvency petition. That information sits in court and tribunal records, and a bank or NBFC that skips it is lending on an incomplete picture. This guide sets out, step by step, how to screen a borrower, guarantor, or corporate counterparty for litigation, from building the right search list to deciding what a hit actually means for the credit decision.

01Why litigation screening matters for lenders

Litigation screening is the check that finds court and tribunal cases involving a borrower, guarantor, or corporate counterparty, before a bank or NBFC decides to lend. It is a narrow, specific job, distinct from the broader idea of litigation management, and it exists because bureau data and litigation data come from two systems that do not talk to each other. See what litigation screening means for a fuller definition.

Credit history and litigation history are different signals

CIBIL and other bureau reports are built from lending data reported by regulated entities. They show missed EMIs, restructured accounts, and written-off loans. They generally do not show a pending civil suit, a criminal complaint, a tax dispute, or an action initiated by an unregulated creditor. A borrower can have a clean bureau score and still be fighting litigation that says a great deal about their financial stress or their intent to pay.

India’s court system is fragmented

There is no single national index of pending cases against a person or company. Records sit across the Supreme Court, 25 High Courts, thousands of district and magistrate courts, and specialised forums such as Debt Recovery Tribunals (DRT), the National Company Law Tribunal (NCLT), consumer commissions, and RERA authorities. A lender that searches only one or two of these misses the forums where the most common lending-relevant cases actually sit.

It has to happen inside a lending workflow, not around it

A retail NBFC approving loans in volume cannot wait days for a manual search on every applicant, and a bank underwriting a large corporate exposure cannot afford to miss a material case because the search was rushed. The process below is built to be repeatable, so it fits inside a credit approval SLA rather than becoming a bottleneck.

02What you are screening for

Litigation screening has one purpose: to surface anything that changes the risk of the loan you are about to approve.

A clean bureau report and an active court case are not the same thing. Litigation screening exists to close that gap before disbursal, not after.

In practice, a screening check is trying to answer three questions about each party to the loan.

• Repayment risk: is there a pending recovery action, cheque bounce case, or civil suit from another lender or creditor that signals existing financial stress?
• Character and intent risk: is there a criminal case, a fraud allegation, or a regulatory enforcement action that raises doubts about the applicant’s conduct, separate from their ability to pay?
• Structural risk (for corporate borrowers): is there an NCLT insolvency application, a winding-up petition, or a dispute over ownership or shareholding that could affect whether the company can meet its obligations at all?

03Step 1: Build the entity list to search

Decide upfront exactly who needs to be screened, not just the primary applicant. The quality of everything downstream depends on this list being complete.

• The primary borrower: the individual or company applying for the loan.
• Co-borrowers and co-applicants: anyone jointly liable for repayment.
• Guarantors: personal or corporate guarantors, since a guarantor’s litigation history matters if the lender ever needs to invoke the guarantee.
• Promoters and directors: for a corporate borrower, the key promoters and directors, since Indian courts can look through the corporate structure and a promoter’s personal exposure can affect the business.
• Group and associate entities: other companies where the same promoters have significant control, especially where they carry cross-guarantees or shared exposure.

Confirm identifiers alongside names: PAN for individuals, CIN and DIN for companies and directors, and registered address. These identifiers matter in the next steps, where name-only search creates real problems.

04Step 2: Know which litigation types are relevant

Not every case type carries the same weight in a lending decision. Knowing what each type signals helps you search efficiently and interpret results correctly.

05Step 3: Search the right courts and forums

Run the search across the forums where the case types in Step 2 actually get filed, not just the ones that are easiest to search.

District and magistrate courts

This is where the bulk of retail-lending-relevant litigation sits, particularly cheque bounce cases under Section 138. The e-Courts portal (ecourts.gov.in) aggregates a large number of district court records and supports party-name search. Skipping this layer, and searching only High Courts, misses most of what actually matters for a retail borrower.

High Courts and the Supreme Court

Relevant for larger exposures, appeals, and where a borrower or promoter has litigation at a higher level, including writ petitions against regulatory action or appeals from a DRT or NCLT order.

DRT and NCLT

Check DRTs for any recovery action by another lender, and NCLT for insolvency filings against a corporate borrower or its group entities. Both should be searched close to the disbursal date, since filings here can happen quickly and change the risk picture with little warning.

Specialised forums

Consumer commissions and RERA authorities matter most for real estate and consumer-facing borrowers. For a corporate borrower in a regulated sector, also check the relevant sector regulator’s public enforcement records.

06Step 4: Solve the name-matching problem

This is where most screening processes lose accuracy. Indian names are recorded inconsistently across court systems: spelling variants, transliteration differences, missing or abbreviated middle names, and common surnames all make exact-match search unreliable.

Two failure modes are both costly. A search that is too strict misses real hits because the name in the court record does not exactly match the name on the loan application. A search that is too loose returns dozens of matches for a common name, and an overwhelmed underwriter either ignores the list or wrongly flags the wrong person.

The practical fix is to combine approximate name matching, meaning search that tolerates spelling variants and phonetic differences, with hard identifiers such as PAN, address, or date of birth to narrow down which of several similarly named parties is the actual applicant. A search process that does one without the other will either miss cases or waste underwriter time on false positives.

07Step 5: Classify the risk, do not just log it

A list of case hits is not a decision input by itself. For each hit, record the forum, case type, stage of proceedings, parties, and, where available, the amount in dispute. Then classify it.

• Repayment risk: cheque bounce, recovery suits, SARFAESI actions, and DRT proceedings, weighted by amount and by whether the applicant is the party alleged to be at fault.
• Structural risk: insolvency filings and winding-up petitions against a corporate borrower, which can warrant an immediate hold rather than a scored deduction.
• Character risk: criminal proceedings, which usually need a manual review rather than an automatic rule, since not every criminal case reflects on creditworthiness.
• Noise: old, resolved, or clearly unrelated matters that came up because of a name match but do not belong to the applicant. Document why these were excluded, do not simply drop them silently.

Stage matters as much as case type. A recently filed suit carries different weight from one with a decree already passed and execution pending. A fresh adverse order deserves attention regardless of where the case otherwise sits in your risk categories.

08Step 6: Feed findings into the credit decision

Screening only adds value if the findings reach the person making the lending decision, in a form they can act on.

Set clear internal rules in advance: which categories of hit require automatic escalation to a senior underwriter or credit committee, which require additional documentation from the applicant, and which are acceptable with a note on file. An active NCLT insolvency filing against a corporate applicant, for example, should trigger an automatic hold rather than wait for a routine credit memo. A single old, small-value, resolved cheque bounce case, by contrast, may need no more than a note.

Keep the screening record itself: what was searched, when, and what was found, even when the outcome is clean. This creates an audit trail that shows the check was actually done, which matters for internal risk review and for regulatory examination.

09Step 7: Re-screen through the life of the loan

A screening check is only accurate on the day it is run. A borrower who was clean at disbursal can have a case filed against them, or by them, a year into the loan tenure, and that filing will not show up unless someone looks again.

Build re-screening into your portfolio monitoring, not just your onboarding process. This matters most for larger exposures, restructured accounts, and accounts already showing early stress signals elsewhere, since new litigation is often an early warning sign that surfaces before a formal default. Where possible, set up automatic alerts for new filings against existing borrowers and guarantors, rather than relying on a periodic manual re-check, since manual re-checks tend to slip once a portfolio grows past a certain size.

10Where 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 borrower litigation screening, two parts of that combination matter most.

For Step 3, Claw’s judgement search covers 30 crore+ judgements and 1.5 billion+ records across 25 High Courts (1980 to 2026) and the Supreme Court (1950 to 2026), with name-tolerant, proximity and phonetic search built for exactly the kind of spelling and transliteration inconsistency described in Step 4. This helps with higher-value exposures and appeals, though the bulk of retail-lending litigation, such as cheque bounce cases, sits at the district and magistrate court level, which is where Claw’s case tracking, rather than its judgement search, applies.

For Step 7, Claw’s case tracking covers 8,200+ courts, including district courts, tribunals, and the Supreme Court, with automatic case updates, alerts, and cause list monitoring. Once a borrower or guarantor is added to a tracked list, new filings and hearing updates come through without a manual re-check, which is the piece that most screening processes lose over time as a portfolio grows.

Claw is a search and tracking platform, not a bulk API-first screening product built specifically for automated, high-volume onboarding pipelines. Lenders screening very large applicant volumes through an automated API should also evaluate purpose-built screening specialists alongside Claw. For a full comparison, see the best litigation screening software for banks and NBFCs and how litigation screening fits into BFSI credit risk.

11Frequently asked questions