Improving document segmentation to preserve medical record context at scale
Stay current on how AI and automation are changing mass tort practice
See how top firms apply Pattern across complex dockets
Learn what drives data accuracy and case readiness at scale
Access answers to common questions about the platform
Pattern labs
Innovation in action
Pattern Labs is where our R&D team shares what we are working on and what we are learning. Recognition accuracy, logic model refinement, valuation simulations — every update is grounded in real litigation data and built with input from legal experts.
.png)
.png)
SafePassage: Bringing Trust and Traceability to AI-Powered Mass Tort Workflows
.png)
Why Medical Record Review is So Hard — for LLMs and Humans
.png)
How OCR can miss quality cases and why A.I. can do better
.png)
Using RAG to Avoid Hallucinations in AI for Mass Tort Case Review
Testimonials
See how firms are using Pattern to strengthen litigation outcomes
Pattern works with leading plaintiff firms and litigation administrators across the country. Each case study highlights how real teams use Pattern to improve review speed, case readiness, and submission accuracy.
Beasley Allen
Accelerating Paraquat and Camp Lejeune case workup with AI
Levin Papantonio
Scaling complex CPAP claim reviews with automated eligibility analysis
Seeger Weiss
Streamlining MDL development through data-driven evaluation
.svg)
The blog
Insights from the Pattern team
Our blog covers trends in litigation data, automation, and legal AI. From practical guides on intake and development to deep dives into evolving MDL processes, the Pattern team shares what we are learning from working inside some of the largest mass tort dockets in the country.
