How a Mid-Sized New York Injury Firm Scaled Operations and Increased Revenue by 52%

Abstract orange icon of a person composed of geometric shapes.Anjana Devi Vijay
Simple dark calendar icon with two rings on top and one horizontal line representing a date.June 3, 2026
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How a Mid-Sized New York Injury Firm Scaled Operations and Increased Revenue by 52%
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Client Overview

A growing personal injury law firm based in New York had built a strong reputation for aggressive plaintiff representation and favorable settlements. They had a team of 18 attorneys and 30 support staff to handle cases across auto accidents, premises liability claims, workers’ comp cases, and catastrophic injury claims.  

When their caseload started increasing, their attorneys found themselves spending countless hours reviewing medical records. Understanding treatment histories, identifying causation and preparing demand letters became bottlenecks in deciding how many new clients they could accept.  

They needed a reliable litigation support team to assist in quicker and more accurate record reviews.

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Challenges

Growing medical record volume

The paralegal staff had to spend around 14 hours per case reviewing thousands of pages — a challenge compounded by the volume of no-fault documentation, multi-provider treatment records, and workers' comp files typical in New York personal injury practice. Reviewing records across 85 active cases per month consumed significant billable hours.

Delays in demand letter prep

Repeatedly going through disorganized records made attorneys take an average of 22 business days to complete demand letter preparation.  

High administrative overload

Even with three full-time paralegals completely dedicated to medical record review, they couldn’t avoid inconsistencies in timelines, treatment histories, and billing data.

Scalability issues

Seasonal surges in injury cases created backlogs forcing the firm from taking in more potential referrals, as they could not handle the volume.

Previous vendor issues

Their trial in outsourcing a vendor did not bring any results as they received only inconsistent summaries with factual errors, making the firm hesitant to outsource again.

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Solutions

LezDo TechMed implemented a tailored workflow through our AI platform, CaseDrive to support the firm’s growing workload.

Medical Narrative Summaries

Attorney-ready narratives summarized treatment history, injuries, care progression, and key medical events, reducing review time substantially.

AI-Powered Record Organization

CaseDrive automatically sorted and indexed records by provider, date, and document type, eliminating manual organization.

Demand Letter Support

Medical summaries highlighted treatment progression, causation, billing information, and other details critical for demand preparation.

Billing Summaries

Cross-referenced billing reports provided a clearer picture of economic damages and supported settlement valuation.

Scalable Support

The firm gained access to flexible capacity during intake surges while maintaining consistent turnaround times.

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Execution

Following a two-week onboarding process, LezDo TechMed reviewed pilot cases, refined deliverables, and tailored a full-fledged workflow for their processes.  

All files were processed through the secure CaseDrive platform, giving attorneys visibility into project status and access to a dedicated case manager.

Within 60 days, all new cases were routed through LezDo TechMed, while existing backlogs were eliminated. Internal staff were reassigned to higher-value activities such as client communication and litigation support.

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Results

52% revenue growth

Annual revenue increased from $3.1 million to $4.7 million through faster case movement, improved demand preparation, and increased capacity.

3× case capacity

Active case volume grew from approximately 85 to 255 cases without adding attorney headcount.

68% faster case preparation

Average case preparation time dropped from 14 hours to under 4.5 hours per case. Demand package turnaround improved from 22 business days to approximately 7 days.

40% lower administrative overhead

The firm reduced reliance on dedicated review staff and redirected resources toward client-facing activities.

Improved quality

Following implementation, quality review cycles were eliminated from the firm's workflow, freeing attorney time previously spent correcting vendor errors.

Increased referrals

Faster turnaround times and improved client service contributed to a 38% increase in attorney referrals.

Client Feedback

Before partnering with LezDo, we were spending 6–8 hours per complex New York PI case on record review. After using their medical narratives, that dropped to about 2 hours per file, and we were able to take on roughly 30% more cases in the following quarter without hiring additional staff.

Bella Lockwood, Managing Partner, New York Litigation Firm

Conclusion

The firm's growth did not come from adding attorneys or expanding office space. It came from removing a major operational bottleneck: medical record review.

By combining AI-powered record organization, medical narrative summaries, and scalable support through CaseDrive, LezDo TechMed enabled the firm to process more cases, improve efficiency, and increase revenue while maintaining quality.

Learn more about our medical narrative summary services for New York personal injury firms.

Source Credit : All metrics and outcomes are derived from anonymized client feedbacks and LezDo TechMed’s internal CaseDrive data.
anjana-devi-vijay
Anjana Devi Vijay
Medical–Legal Research Analyst

Anjana Devi Vijay is a Medical–Legal Research Analyst with seven years of experience translating complex medical and legal information into clear, practical insights. Skilled in research, analytics, and deposition summary review, she understands the documentation and workflow challenges faced in the medical–legal field. She creates concise, solution-focused content-including blogs, eBooks, and case studies- that helps attorneys, evaluators, and claims professionals improve decision-making and strengthen case outcomes.