A collection of some of the projects carried out during my experience at JEMP. This section serves as a modular portfolio for the most significant case studies, focused on innovation and the integration of new technologies into business processes.
Credits
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Role:Consultant & Designer
Core Areas:
Design, Strategy, Marketing, AI Implementation
JEMPy
Redefining Legal Workflow through Generative AI
The Challenge
Within JEMP, the drafting of commercial contracts was a manual, repetitive, and error-prone process. The main challenge consisted in transforming a slow bureaucratic operation into a fluid, secure, and immediate experience, eliminating the manual recovery of old templates and clauses.
The Impact
Efficiency
Drastic reduction in operational lead time and drafting duration.
User Empowerment
Simplified interface with highlighted AI outputs for facilitated critical review.
My Role
Strategic Design and Orchestration
I acted as a bridge between the legal team's needs and the technical potential of AI. In a multidisciplinary team, composed of a computer engineer and a management engineer, I led the definition of the workflow and the UX architecture.
I actively contributed to writing the code for input integration, AI generation improvement, and the implementation of the final formal template.
Technical Implementation
01
Knowledge Base (RAG)
Vector database built on Pinecone containing 5 years of historical articles and definitions for maximum contextual precision.
02
Contextual Intelligence
Integration of Open AI (GPT-4) via API for generating relevant data embeddings and tailored legal clauses.
03
Formal Determinism
Automation through Microsoft Word templates (Jinja2) to ensure legal validity and strict document structure.
Visualization of the agent's internal logic, mapping the flow from user input through the RAG architecture to the final document generation.