EvenUp Law – AI-powered demand packages and medical chronologies for personal injury law

EvenUp Law is an AI-powered platform designed to streamline case preparation for personal injury law firms. By automating the creation of demand packages and medical chronologies, it allows legal professionals to focus on strategy and client advocacy. The tool is part of a growing ecosystem of legal technology solutions that enhance productivity and accuracy in legal workflows.

Its core value lies in leveraging a vast database of legal outcomes to inform demand letters, aiming to improve settlement values and reduce the time spent on administrative tasks. For firms looking to integrate AI automation into their practice, EvenUp Law presents a specialized option.

What is EvenUp Law?

EvenUp Law is a software platform that uses artificial intelligence to assist personal injury law firms in preparing demand packages and medical chronologies. It analyzes medical records and other case documents to generate structured, data-backed demand letters intended for settlement negotiations.

The platform is designed to handle the complexity of medical documentation, extracting key facts and timelines to build a compelling narrative of a client's injuries and damages. This transforms a traditionally manual and time-intensive process into a more efficient, AI-assisted workflow, allowing legal teams to manage larger caseloads effectively.

Key Features

• AI-Powered Demand Generation: Creates comprehensive demand letters using algorithms trained on legal data.

• Interactive Medical Chronologies: Provides detailed, navigable timelines of medical events and treatments extracted from records.

• Data-Driven Settlement Analysis: Leverages a database of historical verdicts and settlements to inform demand valuation.

• Enterprise Security: Maintains SOC2 certification with data encryption and access controls for client confidentiality.

Use Cases

• Personal injury law firms preparing demand packages for auto accident or slip-and-fall cases.

• Medical malpractice attorneys analyzing complex medical records to establish timelines of care.

• Insurance adjusters reviewing medical chronologies for fact-checking during claim assessments.

• Legal consultants providing data-backed analysis on settlement expectations to their clients.

Underlying AI Models or Technology

EvenUp Law utilizes natural language processing (NLP) and machine learning models to analyze unstructured legal and medical documents. The core technology involves advanced language models capable of named entity recognition and information extraction to identify key facts, dates, treatments, and diagnoses from medical records.

These models are trained on a proprietary dataset of legal documents and outcomes, enabling the system to suggest appropriate settlement ranges and draft persuasive narrative arguments. The platform's effectiveness relies on its continuous learning from new case data, refining its predictions and text generation capabilities over time.

Pricing

EvenUp Law operates on a custom pricing model. Costs are tailored to the specific needs, scale, and expected usage volume of the law firm. Prospective users must contact the EvenUp Law sales team directly for a detailed quote.

Pricing information may change. For the most accurate and current details, refer to the official EvenUp Law website.

Pros and Cons

Pros

• Significantly reduces time spent drafting demand packages and analyzing medical records.

• Data-driven approach can lead to more accurate settlement demands and potentially higher outcomes.

• Enterprise-grade security (SOC2) ensures sensitive client data is handled with high confidentiality standards.

Cons

• Requires an onboarding period for teams to integrate the tool effectively into existing workflows.

• Specialized for personal injury law, with limited direct applicability to other legal practice areas.

Alternatives

Firms exploring legal technology may consider other platforms for document automation, legal research, or case management. The following are examples of tools serving adjacent needs in the business and legal software space.

• Casetext: Provides AI-assisted legal research and document review tools.

• Clio: A comprehensive practice management suite with time tracking, billing, and client management.

• ROSS Intelligence: An AI-powered legal research assistant that answers natural language questions.