EvenUp

EvenUp is an artificial intelligence powered legal technology platform designed primarily for personal injury law firms. Its purpose is to help legal teams manage cases more efficiently, organize large volumes of medical and legal documentation, prepare stronger claims, and streamline work from initial client intake through settlement negotiations and trial preparation. Rather than functioning as a general-purpose AI writing tool, EvenUp focuses on the specific processes, documents, and evidence involved in personal injury law. Its platform combines specialized AI models, case intelligence, document automation, and workflow tools to help firms handle complex cases with less manual administrative work.

Founded to address inefficiencies in personal injury legal work, EvenUp aims to help lawyers spend less time reviewing paperwork and more time applying their professional judgment to clients’ cases. Personal injury matters often involve extensive medical records, insurance correspondence, treatment histories, financial information, accident documentation, and negotiations with insurers. Reviewing this material manually can take considerable time, particularly for firms handling large caseloads. EvenUp uses AI to extract relevant information, organize case evidence, identify missing documentation, and produce structured summaries that legal professionals can review.

A central component of the platform is Piai, EvenUp’s proprietary personal injury AI model. According to the company, Piai is trained specifically on personal injury cases and medical records. This specialized focus is intended to make its outputs more relevant to injury litigation than those of general-purpose AI assistants. The system supports document analysis, case assessment, legal drafting, medical chronology creation, and other workflows that help legal teams understand the facts and potential value of a claim.

One of EvenUp’s main functions is assisting with case intake and evaluation. When new case files become available, the platform can analyze information and generate summaries to help firms identify potentially significant cases, assess liability-related information, and spot factors that may require further investigation. Its AI-powered workflows can highlight possible case strengths, weaknesses, missing evidence, and other issues for attorney review. This may help firms prioritize their workload and determine which matters need immediate attention.

EvenUp also supports the treatment and medical documentation stage of a personal injury case. Medical evidence is important in demonstrating the nature of an injury, the treatment received, the effect on a claimant’s life, and the costs associated with recovery. The platform can organize medical records, extract information about injuries and procedures, build treatment timelines, and flag missing records or potential gaps in care. These capabilities help legal teams develop a clearer picture of a claimant’s medical history without having to read every document from beginning to end manually.

Another major feature is demand letter preparation. Demand letters typically summarize the circumstances of a claim, explain the injuries and resulting losses, and present a settlement request to an insurer or opposing party. EvenUp offers AI-generated demands through products such as Express Demands and Expert Demands. Its tools can incorporate case facts, medical summaries, injury classifications, and relevant damages information into structured documents. Firms can also use templates and customization features to align generated documents with their preferred writing style and established internal procedures. Some offerings include legal review, depending on the product selected.

Beyond demand preparation, EvenUp helps legal teams prepare for negotiations. Its case analysis tools can organize the facts relevant to a settlement discussion, identify potential defense arguments, and help attorneys anticipate questions or objections. Case financials and treatment information can also be organized to provide a clearer view of medical expenses and other damages. These features are intended to support better-informed negotiations, although actual settlement outcomes depend on the facts of each case, applicable law, available evidence, insurance coverage, and professional legal judgment.

The platform also supports litigation work after a case moves beyond the pre-litigation stage. Through its AI drafting capabilities, legal teams can generate initial versions of documents such as complaints, discovery requests, discovery responses, summaries, motions, and other litigation materials. Its tools can help organize exhibits, prepare medical chronologies, and review case files. Source-linked or line-level citations in supported workflows allow users to trace generated statements back to the underlying records, making verification easier. However, AI-generated legal documents still require careful review by qualified professionals before they are used or filed.

EvenUp’s product suite includes several specialized tools. Companion functions as an AI assistant for querying case information and finding relevant details across documents. MedChrons helps create medical chronologies from treatment records. AI Drafts supports document generation across different stages of a case, while Communication Agents can assist with routine voice and text communication tasks. Medical Management helps organize treatment-related information, and Executive Analytics gives firm leaders insight into operational performance. The company also offers PLAAS, or Pre-Litigation as a Service, a managed service that combines its platform with personnel who handle specified pre-litigation processes on behalf of a law firm.

Workflow automation is another important part of EvenUp’s offering. Instead of requiring staff to manually review every new document and decide what to do next, configurable workflows can analyze incoming case information, surface relevant findings, and prompt appropriate follow-up actions. This can help standardize routine processes across a firm, reduce repetitive tasks, and make it easier for staff to identify cases that need additional records, client communication, or attorney attention.

The company presents security and confidentiality as important considerations because personal injury cases may contain sensitive medical and personal information. EvenUp states that it has SOC 2 and HIPAA attestations. Firms considering the platform should still evaluate its security documentation, contractual terms, access controls, data retention practices, and suitability for their own legal and regulatory obligations before uploading confidential client material.

EvenUp reports that its platform is used by more than 2,000 personal injury firms in the United States and processes thousands of cases weekly. These figures and reported customer outcomes come from the company and should be treated as vendor-reported information rather than a guarantee of results for every firm. The platform is particularly relevant to practices handling motor vehicle accidents, premises liability, medical malpractice, and other personal injury matters.

Overall, EvenUp is best suited to personal injury firms seeking to improve case organization, reduce repetitive document work, standardize demand preparation, and support negotiation and litigation workflows. Its specialized focus is a key advantage for firms working extensively with medical records and injury claims. At the same time, it is not a substitute for an attorney’s legal analysis, professional responsibility, or final review of case documents. Firms should assess its pricing, integrations, workflow fit, and expected return on investment before adopting it. For organizations focused on personal injury law, EvenUp offers a specialized combination of AI-assisted case intelligence, legal document generation, medical record analysis, and workflow automation

Pricing
EvenUp uses customized business pricing, with costs generally tied to the cases processed and the services selected. The company does not publish a standard price list on its main website. Prospective customers need to contact EvenUp for a quote.
Review
EvenUp is a specialized AI platform for personal injury law firms that need help processing medical records, preparing demand packages, drafting litigation documents, and managing case workflows. Its strongest features include AI-assisted drafting, medical chronologies, case question answering with source citations, and integrations with legal case management systems. These capabilities can reduce repetitive work and make case information easier to review.

The main drawbacks are custom pricing, its focus on personal injury law rather than all legal practice areas, and the need for attorneys to verify AI-generated work. Implementation and workflow changes may also require time. Overall, EvenUp is worth considering for personal injury firms handling large caseloads that want a more structured approach to case preparation.