Supio AI finds needles in the haystack while removing manual review bottlenecks

Brandon Smith's path to mass tort litigation began in his grandfather's clothing store in Covington, Georgia. Watching local lawyers solve community problems, he saw a profession that could make a real difference.

Today, as an Atlanta-based pharmaceutical and mass tort attorney, he's handling cases that affect thousands of lives.

"They call us counsel for a reason," Brandon notes, explaining his firm's approach to clients facing devastating diagnoses, job losses, and mounting medical bills. "We are counseling people and shepherding them through some of the most difficult times in their lives."

Medical records create unsustainable pressure

But by 2022, the sheer volume of medical records threatens to overwhelm even the most dedicated practitioners. Cases came "hard and heavy," each requiring analysis of thousands of pages of documentation. The firm faced a critical choice: turn away valid cases or find a new way to scale their deeply personal approach to mass tort litigation.

Finding needles in haystacks

Mass tort litigation presents a paradox: each case requires both individual attention and systematic processing. At Brandon's firm, the challenge manifested in mountains of medical records – thousands of pages per client, each potentially containing crucial details about diagnoses and treatments.

"Medical records, they're tough on all of us," Brandon explains. The firm's team had become adept at reading medical documentation, but the human cost was mounting. Each review required hours of intense focus, parsing technical language while maintaining emotional distance from often traumatic content.

And every hour spent manually reviewing graphic medical content drained energy needed for client support.

Manual systems reach their ceiling

Hiring nurses for medical review (while effective) proved expensive and slow. Basic technology like Adobe's search function helped locate specific terms but missed crucial context. Instead of just searching for keywords, Supio’s AI Assistant understood medical terminology and legal context, enabling deeper analysis of complex records.

"The cases come at us pretty hard and heavy," Brandon notes. Between ICD codes, medical records, and transaction histories, finding key evidence felt like searching for "needles in the haystack."

Transforming case work with AI

Brandon likens their technological evolution to farming's historic shift: "I equate AI to the farmer back in the day. They were using a plow, and they could only do so much in so many hours. And then the tractor came along." 

After two years with Supio's AI platform, what once consumed days now takes minutes, but the real transformation runs deeper than efficiency.

Building a smarter workflow with Supio’s AI Assistant

Medical record review revealed Supio's unique strength in pattern detection. While humans might miss subtle symptom correlations and rare drug interactions, the system could identify these hidden connections across thousands of patient records.

"The system finds things in medical records we didn't even know to look for," Brandon explains. During Camp Lejeune cases, the Deep Dive feature proved particularly valuable - attorneys could ask natural questions about exposure patterns, treatment progression, and causation evidence, receiving instant answers with direct links to source documentation.

"At this point, my team would kill me if I tried to take Supio away from them," Brandon notes.

During depositions, attorneys could instantly surface relevant medical details, transforming routine questioning into strategic advantage. 

In addition, faster document processing meant more time for what Brandon calls true counseling – guiding clients through life-altering circumstances with the attention they deserve.

Every insight remained connected to its source, enabling immediate verification while maintaining professional standards.

Beyond speed, the system's ability to identify patterns across large document sets transformed their practice. Medical chronologies that once consumed days now emerged in minutes. More importantly, the AI could spot subtle connections between symptoms, treatments, and outcomes that strengthened case development.

Engineering real solutions to meet customer needs

"Every time we have a challenge or question, they fix it," Brandon explains. "We have access to a team of Supio engineers that are just awesome to work with."

Whether handling printed records or digital files, the platform's consistent performance built trust among even skeptical team members.

The transformation at Brandon's firm manifests in unexpected ways. When clients call asking about case progress, the response often surprises them: "Actually, in three weeks, we've already summarized the whole thing. Here's hundreds of pages of it, and here's the distilled down version." 

"If you don't use AI... you're just gonna be left behind." 

But CSS’s experience suggests something more nuanced than mere technological adoption. By automating document review, they've freed their team to focus on the aspects of legal practice that machines can't replicate – the human judgment and emotional support that define great client service.

Measuring impact across the practice

The results appear in subtle but significant ways:

- Paralegals spend more time on strategic case analysis

- Attorneys can focus on case strategy creative legal approaches

- Staff preserve emotional energy and time

- Complex cases receive deeper investigation

- Client communication happens more frequently and substantively