Personal Injury Attorneys at Lerner & Rowe say AI lifted recoveries and speed

Lerner & Rowe’s personal injury attorneys say EvenUp AI cut case time, boosted policy-limit recoveries and increased capacity.

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Ashley Turner
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On-the-ground news correspondent reporting from city halls, courtrooms, and press briefings. Holder of a Columbia Journalism School degree.
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Personal Injury Attorneys at Lerner & Rowe say AI lifted recoveries and speed

At Lerner & Rowe Injury Attorneys, a new AI platform is changing the pace of personal injury work in ways the firm says it can measure. The firm said ’s Proactive Personal Injury AI Platform and Pre-Lit as a Service helped accelerate case progression by up to three months, while also increasing policy-limit recoveries for clients.

The numbers were broad. Lerner & Rowe, which employs more than 400 people and serves clients across multiple states, said the technology lifted operational capacity across its pre-litigation practice. The firm also said it has opened twice as many claims in the same amount of time, increased proactive client outreach by 3.3 times, saved more than 42 hours per case manager in demand preparation and cut 4 hours per case during balance verification and settlement preparation.

Those gains come at a moment when personal injury firms are under pressure from rising case acquisition costs and tighter competition for legal talent. Lerner & Rowe said its own administrative workload and turnover had created bottlenecks, which made faster file review and stronger quality control more valuable. The company’s pitch is straightforward: use AI to handle the repetitive parts so staff can spend more time moving cases toward settlement.

, a lead figure in the firm’s operations around the platform, said the PLAAS team produced policy-limit tenders she would not normally be getting. She described a strong case manager as someone who anticipates the next move and maximizes case value, adding that the team could turn a $15,000 settlement into a $25,000 policy-limit tender. , the firm’s lead case manager, said AI Playbooks saves her hours on every file and lets her quickly find the key facts she needs, including liability and treatment status.

The firm said AI Playbooks automated file reviews and quality control, while also helping staff identify missing records and documentation before demands were sent. It said demands now go out 30 days faster through AI-powered quality control, and case managers can handle up to 20 client calls a day, up from six. Those are substantial changes for a large injury practice, but they remain company-reported results, not independently verified performance data.

EvenUp and Lerner & Rowe are presenting the rollout as more than a back-office efficiency play. The larger wager is that faster file movement, better document screening and more frequent client contact can translate into higher recoveries and more capacity without adding the same amount of staff. For a firm this size, the next question is not whether the software works in theory, but how much of the reported lift endures as the platform remains embedded in daily case work.

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On-the-ground news correspondent reporting from city halls, courtrooms, and press briefings. Holder of a Columbia Journalism School degree.