EvenUp introduced Pre-Litigation as a Service, or PLAAS, alongside new upgrades to its Companion legal assistant and AI drafting system for personal injury law firms. The company said the combined releases create a new operational framework aimed at helping firms increase capacity, improve oversight, and produce more consistent outcomes across cases. The launch centers on AI systems built specifically for personal injury workflows rather than general-purpose legal software.
๐ Key Highlights
- PLAAS manages the full pre-litigation case lifecycle
- EvenUp says firms recover 95% of policy limits
- Companion identifies risks across firmwide caseloads
- AI Drafts applies firm standards to legal documents
- EvenUp handles more than 10,000 cases weekly
The new PLAAS offering combines EvenUpโs AI technology with a U.S.-based case management operation that works directly alongside firms during pre-litigation. The service covers claim intake, investigations, treatment coordination, medical record collection, drafting support, settlement discussions with insurance carriers, and optional lien resolution. EvenUp said the system is already producing measurable operational gains, including faster demand preparation, quicker medical record retrieval, reduced desk time, and lower carrying costs per case.
The company tied the launch to mounting pressure across the personal injury industry. According to EvenUp, consolidation, private equity investment, and expansion by national firms are increasing demands for speed and consistency while exposing weaknesses in manual legal workflows. Firms are also dealing with staffing shortages, employee turnover, and more complex caseloads that place heavier burdens on case managers handling hundreds of files simultaneously.
Companion, the companyโs updated AI assistant, focuses on improving visibility across active case dockets. The platform allows legal teams to search their full caseload and identify issues requiring attention, including missing medical imaging or potential traumatic brain injuries. EvenUp said the tool helps firms shift toward proactive management by highlighting high-value matters and directing staff toward cases needing immediate action. Firmwide Knowledge Base, the latest addition to AI Drafts, applies internal legal standards automatically across documents to support consistency as firms grow.
The announcements extend a broader expansion phase for EvenUp following its $150 million Series E funding round announced in October 2025, which valued the company at $2 billion. Since then, the company has expanded its AI systems across multiple stages of case management, including communication automation and updates to its drafting technology. EvenUp said its tools are currently used by 30% of the top 100 personal injury firms and applied to more than 10,000 cases each week involving over $14 billion in damages.
๐ What This Means (Our Analysis)
EvenUpโs latest rollout reflects how operational software in personal injury law is moving beyond isolated productivity tools into full workflow management systems. The company is positioning AI as part of the day-to-day operating structure of firms rather than an optional layer added to existing processes. That distinction matters because the pressure points described in the industry โ staffing gaps, rising workloads, and inconsistent case handling โ are operational challenges that traditional software alone may struggle to address.
The combination of AI systems with a dedicated case management team also signals a broader shift in how legal technology providers define their role. Instead of focusing only on document automation or research assistance, EvenUp is extending into active case progression and settlement workflows. The emphasis on measurable outputs such as settlement timing, policy recovery rates, and reduced carrying costs shows how legal AI vendors are increasingly competing on operational performance rather than feature lists alone.
๐ Our Take: The next phase of legal AI competition will likely center on which platforms can deliver measurable case outcomes at scale.