Using Legal Intelligence to Detect Medical Mass Torts

Too often, potential mass torts get overlooked because the evidence is buried within unorganized, unstructured, and even hidden data sources.

Here's a realistic example of how this might happen:

A popular over-the-counter nasal spray brand modifies its preservative formula to extend shelf life. However, the new compound interacts with other ingredients to create a toxic byproduct when exposed to heat, like when the spray is left in a car or bathroom cabinet.

Over the following year, thousands of users begin reporting unusual symptoms: chronic sinus irritation, loss of smell, and persistent nosebleeds. Some users even suffer from long-term neurological effects, like memory loss and dizziness. At first, the complaints seem isolated, scattered across product reviews, databases like the FDA’s Adverse Event Reporting System (FAERS), Reddit threads, and online medical forums.

Publicly available data on adverse reactions and clinical outcomes is often scattered across multiple sources in various formats, making it exceptionally challenging to pinpoint product-specific harms or identify relevant patterns. 

Adding to these challenges are the realities that:

1. Adverse reactions are often reported inconsistently, with key details missing or recorded differently across sources. With limited resources and tight deadlines, manually piecing together this fragmented data to build a strong case can be nearly impossible, leaving important facts potentially undiscovered.
2. The success of mass torts depends greatly on finding a substantial number of qualified plaintiffs. However, attorneys often lack precise insights on where to locate these potential claimants, leading them to rely on broad, non-targeted marketing strategies that are both costly and inefficient.

As a result, cases may get discovered opportunistically instead of intentionally, and attorneys pay hefty fees to find plaintiffs.

But at Darrow, we are changing this.

Harnessing Legal Intelligence to Detect Hidden Mass Torts

We believe you should be able to discover medical product liability mass torts faster and bring justice to anyone harmed by a drug or medical device. Using generative AI, including large language models (LLMs) and natural language processing, we've created legal intelligence assets that identify threats, uncover wrongdoing, and surface digital footprints of medical harm. We connect the dots across hidden, publicly available data to detect adverse medical reactions early on.

In addition to detecting cases, our plaintiff-finding team connects attorneys with qualified, reliable plaintiffs using targeted marketing and comprehensive vetting, significantly reducing costs and saving attorneys time. 

This unlocks new opportunities for quicker and more accurate mass tort case prosecution.

Read More: Using Legal Intelligence to Turn Data Into Justice

How Exactly Does Darrow's Legal Intelligence Technology Work?

To uncover medical product legal violations, attorneys need to cross-reference multiple databases, draw data from sources like label changes, label content, FDA trial data, commercial data, online forums, medical studies, and beyond. Yet even after cross-referencing all this data, attorneys and litigation teams must then sort through it to prioritize cases by severity, a step that, without the right tools, is time-consuming and inefficient.

At Darrow, we’ve developed a sophisticated suite of artificial intelligence models and data analytics that address these challenges head-on. Our legal intelligence rests on complex modeling of legal knowledge extraction, which enables us to do what once seemed unthinkable - perform an attorney’s initial investigatory work at a massive scale. Along with our team of in-house legal experts and Legal Intelligence Analysts, our technology uses advanced anomaly detection algorithms to cross-reference thousands of data points, including the notoriously messy FAERS data.

This might interest you: How LLMs are Reshaping the Legal Industry

We then normalize and extract crucial information to make it accessible for analysis, uncovering patterns and categorizing findings. Once structured, the data is transformed into actionable legal insights, visual data maps, and intuitive interfaces that clearly present legal harm and relevant case information.

This saves law firms significant time and costs, allowing them to investigate cases more quickly and thoroughly at an earlier stage. 

Here’s how Darrow solves these issues:

1. Clean and normalize data: We use AI to clean and standardize key data from many publicly-available databases. This ensures we make informed case assessments and ensures no critical details are missed due to data inconsistencies.
2. Cross-referencing multiple sources: Our Legal Intelligence Platform scans the data and integrates information from various sources to detect if a potential case exists. 
3. Dynamic case scoring and prioritization: Our technology assigns a score to each potential case to detect which medical products are more likely to cause adverse reactions. 
4. Case development: Once we’ve identified a medical product or device violation, our Legal Intelligence Analysts use the supported evidence to build a complete case start to finish, backed by data-enriched evidence.
5. Targeted ad campaigns to discover quality plaintiffs. Our plaintiff-finding team utilizes targeted ad campaigns to discover and vet quality plaintiffs to connect with our partners. All mass tort plaintiffs are then transferred to our plaintiff management platform, PlaintiffLink, which ensures that the matches made between attorneys and plaintiffs are accurate and reliable. 

Legal Intelligence: The Key to Identifying Medical Mass Torts at Scale

Amid a complex environment where vital information is often buried in fragmented and messy data, Darrow bridges the gap between technology and human insight to bring hidden medical mass torts to light. 

Our approach is built for humans, by humans, with technology as an enabler of justice, not a replacement for it. 

We create sophisticated algorithms that sift through vast datasets and build strong cases for legal teams with reliable, actionable evidence. Along with the oversight of experienced legal professionals, our team helps attorneys focus on what truly matters: protecting those harmed by unsafe medical products. 

Want to find your next medical liability mass tort? Work with us.

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