Services
Divider

AI for Mass Tort Litigation

Streamline Complexity with AI. Fortify Your Legal Strategy.

Divider
Mass tort litigation is a different beast—countless plaintiffs, sprawling timelines, and thousands of pages of medical documentation that demand fast, accurate review. Reviewing that amount of data manually could be inefficient and error-prone. This is where AI for Mass Tort Litigation becomes indispensable, not just as a tool, but as a scalable solution built for speed, precision, and defensibility.

At Managed Outsource Solutions (MOS), we bring you mass tort litigation automation with a realistic, no-nonsense approach. By integrating smart AI into the heart of record review and data extraction, we enable law firms and legal teams to effortlessly untangle the intricate web of plaintiff information without drowning in paperwork or overlooking critical insights.

Mass Tort Litigation Automation

The Challenge: Volume, Timelines, and the Need for Accuracy

Divider
Mass tort cases usually involve hundreds or even thousands of plaintiffs, each with their own profile/story buried deep within disorganized EHRs, scanned PDFs, handwritten notes, or lab reports. Manually reviewing these not only takes time but also brings forth the risk of inconsistencies and oversight.

Our AI-driven system is built to fix that.

Meet ReviewGenx: An AI That’s Built for the Grind

Divider

Through our collaboration with DeepKnit AI, we provide access to ReviewGenx, a powerful, customizable model developed specifically for medical record review. ReviewGenX isn’t just reading medical records—it’s analyzing, extracting, and contextualizing clinical data at scale. Here’s what makes it litigation-ready: 

  • Designed and built around our own LLMs, it enables deep contextual comprehension—not just keyword scanning.
  • Trained on a vivid, rich dataset of real-time clinical data, ICD/CPT codes, and personal health information.
  • Generates precise medical summaries, creates well-structured chronologies, and extracts vital data sets requiring minimal manual intervention.
  • Seamlessly performs intelligent character recognition (ICR) to interpret even poor-quality scanned documents with clarity.

Ready to accelerate your next mass tort case?

How Our AI Transforms Your Mass Tort Workflow

Divider
We’ve reinvented the traditional, sluggish process of medical record review with automation built specifically for mass tort scenarios. Here’s how:
Mass Tort Workflow
i

Smart Plaintiff Fact Sheet (PFS) Population

Auto-extract key data fields from source records to populate PFS with precision, thereby saving hours off your workflow.

Structured Case Chronology

Arrange events across time and patients, sorted and linked by drug/device exposure, treatment, or adverse outcome.

Keyword & Pattern Recognition

Utilize custom triggers to flag particular injuries, missed treatments, or vital adverse events across thousands of documents.

Consistent Summaries at Scale

It doesn’t matter if it’s 50 or 5,000 claimants, the generated summaries stay sharp, standardized, and fact-rich.

Data Normalization & Tagging

Seamlessly unify information from multiple sources with clean, tagged datasets that are ready for legal or medical analysis.

From Manual to Machine-Precision: A Case for Mass Tort Litigation Automation

Divider

Our AI-driven workflows don’t replace your team, instead they supercharge it. This enables your experts to spend time making critical decisions, rather than pouring over every page, digging for data. We will take care of the tedious groundwork so you can focus on strategy, settlement, or preparing for trial. 

Whether you’re working on big pharma mass torts, defective medical device claims, or toxic exposure cases—mass tort litigation automation with DeepKnit AI’s ReviewGenx delivers agility at scale.

Why Choose MOS?

Divider
  • 20+ years of unmatched legal-medical experience
  • Diligent HIPAA-compliant systems
  • Custom workflows for any litigation types
  • Dedicated support from intake to trial prep
  • Proven success supporting large-scale MDLs
  • Flexible intake formats: PDFs, EHR exports, handwritten notes, and more
  • Rapid ramp-up for emerging litigation (e.g. drug recalls, device defects)

Let AI Handle the Chaos of Mass Tort

Discover how we simplify mass tort cases—one record, one plaintiff, one timeline at a time.