What is Eve Legal?
- Founder: Jay Madheswaran and a team of AI engineers.
- Launch: March 2025
- Use Cases: Automating case intake and evaluation, drafting legal documents, creating medical summaries, supporting discovery requests, and streamlining pre-litigation and litigation workflows
- Technology: Built on advanced generative AI with validation frameworks, SOC II Type II security, HIPAA compliance, and AES-256 encryption to ensure both accuracy and data protection.
Eve Legal is an AI-powered legal assistant designed specifically for plaintiff law firms that helps lawyers manage every part of the case lifecycle with more speed and accuracy than ever. Eve automates many repetitive tasks that can keep legal teams from moving as fast as they could. Whether it is screening new matters, drafting medical summaries or complaints, or managing discovery or settlement documents, Eve automates many of the tedious processes that can make law firms less efficient. Eve's adaptive "Blueprints" can mimic a law firm's unique writing style so that the content always looks professional and consistent. Each draft also evaluates and validates the content so that citations are always checked, and errors are minimized. In addition, Eve ensures that sensitive case data is protected and secure, utilizing industry-leading enterprise-grade protections, including SOC II Type II certification, HIPAA compliance, and AES-256 encryption. For attorneys who use Eve, the software saves hundreds of hours on document preparation, reducing work that would typically take days to just minutes. By increasing efficiency and scale without having to hire additional staff, law firms using Eve can now handle more cases simultaneously, maximize revenue, and create better outcomes for their clients. Eve possesses the skills and efficiency of a legal assistant, a unique combination for most plaintiff firms. Unlike broad generic AI tools, Eve is tailor-made for specific plaintiff firms, which makes Eve your trusted partner because it learns and grows with your practice.