3 Reasons You Can’t Ignore Product Liability Risks


For the longest time, product liability was treated as something that only surfaced after a crisis. A claim would arrive, lawyers would step in, and the business would try to contain the damage. Today, however, the scale of product exposure makes liability a constant strategic factor.

As data from the National Safety Council shows, there were over 15 million consumer product-related injuries that received treatment in emergency departments in 2024. This represented an increase of 18.2% compared to 2023. Those numbers seem to keep going up and reflect how widely products are used and how quickly risk can spread across markets.

What this means for you, whether you run a small manufacturing firm or oversee a global brand, is that product liability is woven into daily operations. Ignoring it does not make it disappear. It only makes the eventual impact harder to manage and far more expensive than expected. Today, we’ll look at three reasons why you should be more prepared for it. 

#1. Digital Transparency Has Changed Litigation Risk

A decade ago, a defective product might generate scattered complaints that took months to connect. In 2026, this is no longer the case. Customers post photos, videos, and detailed accounts within hours of experiencing a problem. Those posts then circulate widely before a company’s internal reporting system even flags an anomaly.

This is why online reviews, discussion forums, and social platforms should often function as your informal early warning systems. Many plaintiffs’ firms monitor these channels closely to identify patterns and reach out to potential claimants at scale. 

Likewise, digital transparency also affects evidence. Emails, internal chats, testing records, and customer complaints are increasingly prone to leaks and can shape the narrative long before a case reaches trial. 

Besides, despite restrictions, jurors and regulators now operate in an environment where information spreads quickly, and reputational judgments form early. 

For your company, this means that product liability risk is directly tied to communication strategy. In other words, monitoring digital feedback, responding consistently, and documenting corrective actions are no longer optional public relations steps. 

#2. One Product Can Trigger Multi-Year, Multi-Hundred-Million Dollar Cascades

Modern litigation frequently consolidates claims into large coordinated proceedings. Multi-district litigation structures allow courts to centralize similar cases, which increases efficiency but also concentrates financial exposure. Once hundreds of plaintiffs are grouped, the pressure to resolve the matter intensifies. The Enfamil lawsuit situation shows exactly how this can happen.

As TorHoerman Law explains, Mead Johnson’s cow-milk-based formulas for premature infants appear to significantly increase the risk of necrotizing enterocolitis (NEC). This is a severe disease that’s often fatal, and many families allege that the warnings were inadequate.

As Top Class Actions reports, the NEC multi-district lawsuits have now reached a total of 950 claims. There have also been a wide range of settlement outcomes, ranging from $60 million for Enfamil to $495 million for Similac. When cases reach that scale, settlement decisions often involve complex calculations about public perception, ongoing defense costs, and long-term brand stability.

To make matters worse, competitors sometimes capitalize on uncertainty in the market, which can shift market share during prolonged litigation. Before you know it, a single product issue has the potential to evolve into a multi-year business challenge that affects operations.

#3. The Cost Structure of Liability Extends Beyond Settlements

Many executives focus on verdict amounts or settlement headlines, yet the financial consequences are often bigger than expected. As the Insurance Information Institute (III) reports, net premiums written for product liability insurance were over $4.5 billion in 2024. 

What’s more, product liability defense costs are extremely high compared to losses. In 2024, defense costs were $769 million or 33.6% of the losses incurred. Those defense costs represent resources spent simply to respond to claims, regardless of whether the company ultimately prevails.

In 2025, one manufacturer reported $374 million accrued for ‘probable product liability claims’ according to an annual report by the SEC. The same manufacturer also paid out $182.5 million and $227.1 million for probable insurance recoveries related to product liability accruals. 

It goes without saying that these accruals affect earnings projections, investor confidence, and borrowing capacity. Thus, if your reserves grow, you must account for them in strategic planning, which can invariably delay expansion and reshape long-term priorities.

Frequently Asked Questions 

1. Can a company be sued even if it followed all safety regulations?

Yes, it can. Meeting safety regulations helps your defense, but it does not automatically shield you from lawsuits. Plaintiffs can argue that a product was defectively designed or that warnings were inadequate, even if regulations were technically satisfied. Compliance is important, but courts often look beyond minimum standards.

2. What role does product recall play in reducing legal exposure?

A recall can limit harm and show that your company acted responsibly once a risk was identified. That can reduce the number of injuries and sometimes soften reputational damage. However, recalls do not erase liability for past harm, and they can sometimes attract more scrutiny if handled poorly.

3. Can strong warning labels fully protect a company from lawsuits?

Strong warnings help, but they are not a guarantee of protection. Courts examine whether the product was reasonably safe in its design, not just whether risks were disclosed. If a danger could have been reduced through a safer design, a warning alone may not be enough to avoid liability.

At the end of the day, when you look at rising injury data, escalating defense costs, and the scale of consolidated litigation, it becomes clear that product liability cannot be ignored. 

The consequence of doing so is reacting under pressure, with limited room to maneuver amidst mounting financial strain. What makes this especially challenging is that liability risk isn’t easily noticed. By the time it becomes visible in a courtroom, the operational and reputational effects may already be well underway.



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Here’s a number that should stop you mid-scroll: India’s gross NPA ratio hit a historic low of 2.15% as of September 2025 — the lowest level since 2010-11, confirmed by the RBI in its latest Trends and Progress of Banking in India report released December 2025.

Now here’s the number that puts it in context: the absolute gross NPA stock still stood at ₹4.32 lakh crore.

That gap — between a ratio that looks reassuring and an absolute number that demands serious infrastructure — is exactly where India’s debt collection industry lives in 2026. The headline is good. The operational challenge is not over. And the technology being deployed to close that gap is transforming the industry faster than most lenders have internalized.

India Debt Collection Software Market Overview

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The Paradox That Defines This Moment

Understanding India’s NPA story in 2026 requires holding two truths at once.

The first truth: asset quality has genuinely improved. Public sector banks saw their gross NPA ratio fall from 9.11% in March 2021 to 2.58% by March 2025. Net NPAs are at 0.5%. The slippage ratio — which measures fresh loans turning bad — declined for the fifth consecutive year to 1.4% at end-March 2025. By almost every ratio-based metric, this is the healthiest India’s banking sector has been in a generation.

The second truth: the composition of what’s left has changed dramatically. The easy-to-resolve large corporate NPAs have largely been worked through the IBC pipeline. By March 2025, more than 30,000 applications representing underlying defaults of ₹13.78 lakh crore had been settled at the pre-admission stage alone. What remains is a harder, more distributed problem — retail loans, MSME advances, microfinance accounts, scattered across geographies, ticket sizes, and legal jurisdictions. India’s loan book crossed ₹2.2 trillion in FY25, with personal loans alone doubling from 73 million to 146 million accounts in three years.

More loans at smaller ticket sizes, more borrowers who are first-time credit users, more accounts that fall into DPD buckets without the ability to recover through traditional legal channels. The ratio looks good. The recovery work is just beginning.

Technology Has Stopped Being Optional

If 2023 was when collections technology became mainstream, 2026 is when it became existential. The proof is in the adoption curves.

Mid-sized banks observed a 34–36% drop in credit disbursement and collection costs due to AI adoption. Institutions implementing AI-driven collections strategies report recovery rate improvements of 10–25% and significant reductions in operational costs. AI adoption in finance functions has climbed to 59% of firms globally — up from just 37% in 2023.

In India specifically, the pattern is clear: platforms that started with digital nudges and payment reminders have graduated into full-stack recovery infrastructure. Credgenics, which recently partnered with Aye Finance, now combines omnichannel communication with AI-powered borrower scoring, a litigation management system, and an ODR capability — covering the collections lifecycle from the first payment reminder to settlement. DPDZero has built intelligent early-stage workflow automation with strong pre-legal capabilities. Both represent real progress on the front end of the collections funnel.

Industry leaders entering 2026 are clear that AI will act as a major catalyst across servicing, collections, underwriting support, and operational efficiency — with customer-facing adoption following with the right regulatory safeguards in place.

But here is where the story gets more nuanced: most of the AI investment in Indian collections has been concentrated in the 0–90 DPD bucket. The pre-legal stage. The moment a borrower crosses into formal legal territory — a SARFAESI notice, a DRT filing, a Section 138 cheque bounce case — the sophistication level drops sharply. Legal recovery in 2026 is still largely manual at most lenders, tracked through spreadsheets, coordinated over WhatsApp, and measured through gut feel rather than data.

This is the infrastructure gap that defines the next wave of collections technology in India.

Where The Legal Stack Is Breaking

Legal recovery was never meant to be the last resort. Under SARFAESI, lenders have the right to take possession of secured assets without court intervention. Under the IBC, creditors have genuine leverage. Debt Recovery Tribunals were specifically designed to fast-track financial disputes.

The frameworks work. The execution doesn’t — not at scale.

Consider what a legal recovery workflow typically looks like at a mid-sized NBFC with 5,000 NPA accounts: notices are drafted in batches, manually checked, dispatched through India Post without systematic delivery tracking. Court hearing dates live in someone’s calendar. Advocate assignments are based on familiarity rather than performance data. If a case gets adjourned three consecutive times with no action, there’s often no automated alert. The account drifts.

Over 320 new debt recovery platforms launched between 2022 and 2024 offering integrated dashboards, cloud-based workflows, and multilingual customer engagement. Yet very few of these have solved the legal layer — jurisdiction-specific notice templates that pull directly from loan management data, court case tracking that flags at-risk hearings, advocate performance analytics that tell you which empanelled lawyer closes DRT cases fastest in a specific geography.

Platforms built specifically for the collections-to-legal junction are filling this gap. Legodesk’s infrastructure, for instance, is purpose-built around exactly this workflow: legal notice automation with India Post integration and tracked delivery, centralized court case management across DRT, NCLT, and civil courts, and advocate network analytics that surface performance data rather than just contact information. The goal is to make the legal recovery process as operationally tight as pre-legal collections has become — auditability built in, data flowing both ways, outcomes measured.

The Regulatory Ratchet Is Only Moving One Way

The regulatory environment in 2026 is not getting simpler. The Digital Personal Data Protection Act, now operationalized through sector-specific guidelines from RBI, SEBI, and IRDAI, has fundamentally changed how lenders must architect their data flows, consent management, and vendor relationships. Regulation is emerging as a structural force rather than a cyclical hurdle for Indian fintechs entering 2026.

In collections specifically, this translates to: contact hour restrictions that require systematic enforcement, documentation requirements that demand automated audit trails, and borrower communication protocols that need to be embedded in the platform rather than left to individual agent discretion.

The lenders best positioned for this environment are the ones who treated compliance infrastructure as a capability investment rather than a cost center. Automated legal notice dispatch — where every notice is templated, timestamped, and tracked — is not just operationally efficient. It is legally defensible in a way that manual processes are not. When the RBI or a DRT asks for evidence of process, a documented digital trail answers that question in minutes. A WhatsApp archive does not.

The Emerging Recovery Ecosystem

One of the more interesting structural shifts in India’s collections space over the last 18 months is the move away from “one platform for everything” thinking toward ecosystem thinking.

Different parts of the recovery journey call for genuinely different capabilities. Pre-litigation resolution through platforms like Presolve360 is creating real value for smaller-ticket disputes — ODR and mediation reduce the burden on formal legal channels for accounts where SARFAESI or DRT proceedings would cost more than the debt itself. Early-stage collections automation from platforms like DPDZero works best when it’s connected to legal escalation triggers rather than operating as an isolated system. Legal management infrastructure like Provakil serves the enterprise legal function well, even where it isn’t collections-specific.

The lenders achieving the best recovery outcomes are not choosing between these. They are building recovery stacks — thinking clearly about what capability handles which stage of the journey, where data needs to flow between systems, and what the handoff protocol looks like when a borrower moves from pre-legal to legal territory.

This ecosystem mindset is relatively new in India. It is where the industry is headed in 2026, and the lenders who get there first are building a durable operational advantage.

What The Number Actually Tells You

Back to that opening statistic. A 2.15% NPA ratio is a genuine achievement — the result of eight years of sustained effort across regulatory reform, IBC implementation, recapitalization, and increasingly sophisticated recovery operations.

But ₹4.32 lakh crore in absolute gross NPAs, sitting in a loan book that is growing at double digits annually, with a retail and MSME composition that requires more distributed, technology-intensive recovery operations than anything India’s collections industry has managed before — that is not a problem that a good ratio solves.

It is a problem that infrastructure solves. And in 2026, the infrastructure is finally being built.

Legodesk provides legal recovery infrastructure for banks, NBFCs, and fintechs — connecting collections workflows with legal notice automation, court case management, and advocate network analytics. Contact us

FAQs

What is India’s current NPA ratio in 2026?

India’s gross NPA ratio reached a historic low of 2.15% as of September 2025, according to RBI data confirmed in February 2026. In absolute terms, gross NPAs stood at approximately ₹4.32 lakh crore as of the same period.

How is AI being used in debt collection in India?

AI is being deployed across predictive default scoring, omnichannel borrower communication, automated legal notice dispatch, and court case management. Mid-sized banks have reported a 34–36% reduction in collection costs after AI adoption, with recovery rate improvements of 10–25%.

What laws govern debt recovery in India?

How is AI being used in debt collection in India? A: AI is being deployed across predictive default scoring, omnichannel borrower communication, automated legal notice dispatch, and court case management. Mid-sized banks have rep

What is the size of the debt collection software market in India?

India’s debt collection software market reached approximately $172.8 million in 2024 and is projected to grow to $456 million by 2033 at a CAGR of 10.48%, per IMARC Group.



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