Too often, potential mass torts get overlooked because the evidence is buried within unorganized, unstructured, and even hidden data sources.
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.
The sheer volume and disorganization of this information create additional obstacles for attorneys. Searching through databases like the FDA’s Adverse Event Reporting System (FAERS), the Manufacturer and User Facility Device Experience (MAUDE), supplemental data from FDA trial results, label content changes, and academic studies is incredibly arduous and time consuming.
Adding to these challenges are the realities that:
- 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.
- 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 AI and legal expertise to illuminate hidden mass torts
We believe that you should be able to discover cases faster and bring justice to anyone harmed by a medical drug or device.
Fortunately, recent advancements in AI and data analytics are transforming this process. With the use of generative AI tools—like large language models and natural language processing—combined with our team of lawyers’ expertise in medical case law, we can connect the dots to detect adverse medical reactions early-on.
Our technology also allows us to find quality plaintiffs using targeted marketing, significantly reducing costs and saving attorneys time.
This approach unlocks new opportunities for quicker and more accurate mass tort case prosecution.
How exactly does this 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, and medical studies. 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 that address these challenges head-on. Along with our team of in-house lawyers, our platform uses advanced anomaly detection algorithms to cross-reference thousands of data points from over ten different sources—including the notoriously messy FAERS data—and transforms this fragmented information into reliable, actionable insights.
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:
- 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.
- Cross-referencing multiple sources: Our analysis platform scans the data and integrates information from various sources to detect if a potential case exists.
- 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.
- Case development: Once we’ve identified a medical product violation, our team of in-house attorneys use the supported evidence to build a complete case start to finish.
- Targeted ad campaigns to discover quality plaintiffs. Our team of paid marketing specialists utilize targeted ad campaigns to discover and vet quality plaintiffs for 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.
Lawyers and AI: A powerful alliance in legal discovery
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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