Julia Krznarich is the Litigation Intelligence Analyst at Stinar Lannen, where she builds and runs the data systems behind the firm’s mass tort campaigns. She takes the raw material of a campaign — intake records, medical files, laboratory and exposure data, litigation and docket information — and turns it into something the trial team can act on: a case inventory that is clean, current, and defensible down to the individual claimant.
In a mass tort, the firm’s sharpest advantage is precise knowledge of its own inventory: thousands of claimants, each with a medical history, an exposure timeline, a product identification, a treating physician, a lien position, and a deadline. Julia is the person who keeps that knowledge accurate and verifiable, so the trial team can describe every case it holds and stand behind its numbers in negotiation and in court.
What she does at Stinar Lannen
- Builds and maintains the claimant databases behind the firm’s mass tort campaigns, so every case in the inventory is verifiable rather than assumed.
- Screens and validates incoming claims against medical and exposure criteria — catching the cases that do not qualify early, and making sure the ones that do are properly documented.
- Writes the pipelines that reconcile records across sources, because a campaign at scale cannot be run by hand and should not be.
- Analyzes litigation and docket data to surface the patterns that inform strategy: what the inventory actually holds, where the strongest cases cluster, what is moving and what is stalling.
- Produces the reporting the trial team relies on in negotiation and in court, where the number has to be right and has to be sourced.
Why her science background matters
Mass torts turn on mechanism. Whether a drug plausibly causes a tumor, whether an exposure pathway reaches the population that claims it, whether a study says what a defense expert says it says — these are scientific questions before they are legal ones, and they are often where the case is actually decided. Julia’s training lets her engage with that science directly rather than at a distance.
She studied biochemistry and molecular biology at Michigan State University. She has run GPU-accelerated molecular dynamics simulations of protein behavior, work that demands genuine fluency in how a compound interacts with the body. She has performed geospatial analysis of environmental contamination data — mapping pollution against affected populations across multiple years to find where the two lines meet, which is the shape of a toxic tort case before anyone files one. And she has applied statistical modeling and hypothesis testing to messy real-world datasets, reporting the results honestly, including where the data would not support the conclusion someone wanted.
That combination is unusual, and it is the point. Julia reads the science and she builds the system. Most firms have to choose.
Precision as a habit
Julia’s earlier work was in healthcare — patient intake, insurance verification, and pharmacy records, all under HIPAA, all at volume. It is a useful apprenticeship for this role: confidential records handled correctly, discrepancies escalated rather than smoothed over, and an instinct for the small inconsistency that turns out to matter. She brings the same discipline to a claimant file that she brought to a prescription.