I design and build practical, data-driven solutions that create measurable value for law firms and redefine what's possible in legal tech.
Fueled by nearly a decade of hands-on experience in high-volume law firms, I've developed a disciplined approach to innovation. My process transforms deep operational insights into measurable results.
I spot the critical, often hidden, inefficiencies in legal operations that limit growth and create risk.
I architect practical, AI-powered frameworks tailored to solve those specific challenges within complex legal workflows.
I build and implement solutions that create quantifiable value, enhance efficiency, and optimize a firm's performance.
Designing multi-agent systems, expert systems, and advanced RAG + NLU workflows optimized for legal applications
Applying Six Sigma principles to deconstruct complex processes and build intelligent automation systems
Creating robust Human-in-the-Loop frameworks and performance metrics to ensure reliability and user trust
Each project below is a practical, AI-driven solution designed to solve a specific, high-impact challenge in legal operations. With scalable architecture at their core, these frameworks are built to deliver measurable results and evolve with the needs of the firm.
Law firms struggle to systematically identify and resolve operational inefficiencies, which impacts profitability and creates significant regulatory risk.
This system uses an innovative analytical framework to design comprehensive digital transformation strategies:
Deploys a simulated team of specialized experts to analyze problems from multiple critical perspectives.
Executes a rigorous, evidence-based analysis using the Six Sigma DMAIC framework.
Delivers a strategic playbook that includes actionable architectural recommendations and phased implementation plans.
This framework provides clear pathways to enhance profitability, improve firm-wide efficiency, and significantly reduce regulatory and administrative risks.
The traditional process for drafting mediation briefs is often inefficient and produces inconsistent quality, leading to excessive revision cycles and missed strategic opportunities.
Leverages a structured repository of legal precedents and strategic frameworks.
Assembles tailored, AI-driven content blocks based on specific case strategy.
Generates a professional-quality, submission-ready document with minimal review needed.
This framework delivers a 60-80% reduction in brief preparation time while ensuring consistent, submission-ready quality and eliminating wasteful revisions.
Existing legal tech platforms fail to manage complex conditional workflows and often use inaccurate deadline calculations (calendar vs. court days), creating significant compliance risks.
A product vision for an engine that delivers comprehensive workflow control:
Provides court-day-accurate calculations that adapt to jurisdiction-specific rules.
Enables conditional task creation based on specific case factors and procedural context.
Optimizes staff allocation and prevents bottlenecks through intelligent resource forecasting.
Identifies potential compliance issues and procedural errors before they occur.
This framework solves a fundamental, unaddressed problem in legal tech, creating a significant competitive advantage while proactively mitigating compliance and procedural risks.
Eve's mission to create "AI-native law firms" requires the exact blend of technical architecture and deep legal insight that my work embodies. I am passionate about building the intelligent frameworks that solve real-world challenges and define the future of legal practice.
Mandi Peach
Phone: +16264298467
Mandi Peach: Bridging the Gap Between Legal Practice and AI