Scout InsurTech Interview with DocLens

DocLens is an insurance risk assistant. They seek to build the most innovative solution to drive accurate risk management. Chris Luiz sat with CEO, Arnab Dey, to learn more about how DocLens is impacting the industry.

Who are your clients?

Our ideal customer profile is the liability claims teams within property and casualty insurance companies, as well as defense counsel firms that specialize in bodily injury cases. On the carrier side, we’re working with a global top-three insurer and a range of tier 1, tier 2 and tier 3 companies. 

On the defense side, we’re engaged with firms that focus on areas like construction-related slip and fall cases. While we don’t disclose client names publicly as a matter of company policy, I can share that one of our insurer clients is also an investor through an accelerator we participated in.

What does your product do?

We’re transforming bodily injury claims using an agentic AI workflow. Our platform continuously ingests unstructured documents from a carrier’s claims document management system and enables three main capabilities. 

First, we help identify high-risk claims by surfacing risk signals through intelligent search. Second, we generate tailored summaries such as medical record summaries, liability case overviews or coverage analyses that help claims professionals assess their cases. Finally, we provide recommended next best actions based on claim attributes, state-specific factors and outcome optimization logic.

How much capital have you raised?

We’ve raised one million dollars in our initial round. That includes investment from institutional backers, as well as one insurance company that participated through an accelerator.

Was the company born from within or outside the industry?

We come from deep inside the industry. Mike, one of our co-founders, spent nearly 30 years in insurance law and complex claims, including 15 years at CNA. I’ve spent over 25 years in professional services with about 80 percent of my time advising P&C carriers on operations, digital transformation and analytics. Our other two co-founders bring deep expertise in AI and ML engineering, including 28 patents. The company was formed at the intersection of insurance, legal and technology.

What inspired the team to start the company?

We saw that liability claims were becoming increasingly costly, partly due to social inflation and nuclear verdicts. Four years ago, we began noticing that costs were growing seven percent year over year on top of economic inflation, and we felt that the industry needed intervention. We also saw the emergence of AI and believed it could help solve this large, complex problem. We made a few core bets. 

First, that vertical, domain-specific AI would be more effective than general-purpose models. Second, that true value would come from building usable operations products, not just data science prototypes. And third, that AI should be responsible, explainable and tightly aligned with the workflows and expertise of claims professionals. That was the vision behind DocLens.

What growth metrics have you accomplished over the last 12 months?

This past year has been foundational for us. We achieved SOC 2 Type II and HIPAA compliance in October. In November, we signed a multi-year deal with a global top-three carrier. By the end of 2025, we expect to be live with six or seven enterprise clients on multi-year contracts. Given the sales cycle and due diligence requirements in this space, we’re really proud of that momentum. Our platform is currently scaling in terms of both document volume and end-user activity across multiple modules.

Within your domain, what is the current challenge that the industry is facing?

One of the biggest challenges is information overload. Claims adjusters, especially in bodily injury, have to review massive volumes of documentation. For example, personal auto adjusters might handle 200 to 300 claims a year, and those can span hundreds of pages each. The complexity grows in segments like medical malpractice, where claims last for years. Adjusters are expected to quickly extract insights from highly variable and technical documents, navigate state-specific liability laws and manage caseloads with limited knowledge sharing and rising attrition.

How is DocLens taking a unique approach to solving this?

We differentiate in four ways. First, our platform is purpose-built for liability claims and delivers very high performance. Second, we start with domain-specific logic, asking the right legal and claims questions before we even look at the data. Third, we use a flexible tech stack that balances precision and cost efficiency, blending agentic workflows, retrieval-based systems and targeted ML models. Finally, we integrate curated third-party datasets to drive outcome benchmarking and enrich model performance without training on customer data. This allows us to create state-specific and injury-specific recommendations that are highly actionable.

Can you share any goals for the next 12 months?

We want every insurance company and every adjuster to at least see our product. There are over 100,000 adjusters and nearly 3,400 carriers in the U.S., and we believe our platform can bring value to many of them. In the short term, our target is to expand to six to eight enterprise customers, grow usage across our various modules and continue to scale the number of users and documents processed. We’re also focused on gathering operational insights that will allow us to keep improving. Our users are telling us that the product is working and impactful, and we want to amplify that success.

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