Mitul Trivedi stands at the forefront of Generative AI innovation, with over 13 years of experience as a data scientist and a reputation for transforming business operations through intelligent technologies. Trivedi’s leadership has been instrumental in Fortune 100 companies in building AI-powered legal solutions that redefine productivity and precision for professionals across North America and Europe. His extensive expertise and strategic foresight have positioned him as a significant influence in the fields of machine learning, deep learning, and AI-driven business intelligence.
Early Life and Academic Foundation
Mitul Trivedi’s academic journey is as distinguished as his career. He holds a Master of Business Administration in Technology with a specialization in Data Science from Walsh College, Michigan (2023), complemented by postgraduate degrees in Data Science and Business Analytics from The University of Texas at Austin and Case Western Reserve University, both completed in 2021. His foundational studies in finance, culminating in an MBA from ICFAI University in India, paved the way for a multidisciplinary perspective that seamlessly bridges business and technology.
These academic experiences equipped Trivedi with a robust understanding of data systems, analytics, and strategic decision-making, laying the groundwork for a career defined by innovation and cross-functional leadership.
Professional Journey
At APM Terminals, Mitul Trivedi served as Head of Legal, where he led initiatives to automate legal workflows and transform contract management processes. He implemented advanced machine learning and deep learning models to support risk analytics, streamline legal operations, and enhance decision-making. His work enabled scalable, AI-driven legal solutions that significantly improved operational efficiency and reduced compliance risks.
While at Google, Mitul Trivedi transformed how the Global Affairs legal team interacted with data. He built robust SQL pipelines and intuitive dashboards that gave compliance agencies real-time visibility into key legal operations, elevating transparency across the board. His work didn’t stop at reporting — he also spearheaded the deployment of NLP and LLM-powered applications through Vertex AI, automating document review and sharpening the company’s legal response with data-backed precision.
At LexisNexis, Mitul Trivedi led the development of bilingual (French-English) Generative AI tools designed specifically for legal professionals. He harnessed advanced technologies including Langchain, RAG frameworks, and AWS Bedrock to deliver scalable solutions for argument generation, legal summarization, and compliance-safe content creation.
Leadership and Innovation
Mitul Trivedi’s leadership is marked by a hands-on, strategic approach. Known for his ability to bridge technical depth with business insight, he fosters collaborative environments where complex challenges are transformed into pioneering solutions. His leadership style emphasizes scalability, compliance, and the ethical deployment of AI—particularly evident in his work implementing guardrails against prompt injection and model hallucinations.
He empowers his teams by guiding them through rigorous development processes, championing robust evaluation metrics like F1 scores and ROUGE, and advocating for continuous feedback from subject matter experts to refine AI outputs.
Notable Achievements
Among Trivedi’s notable accomplishments is the development of an agentic Retrieval-Augmented Generation (RAG) framework using CrewAI, designed to emulate the collaborative workflow of junior lawyers for high-precision legal document generation. He built intelligent contract generation pipelines powered by vector stores like Qdrant and fine-tuned embedding models to optimize retrieval accuracy across complex legal corpora. His work also includes the creation of tools such as “Question myPDF,” which leveraged Pinecone and ChromaDB, and the deployment of custom-tuned LLMs tailored for the legal nuances of the U.S. and Canadian markets. Previously, he improved operational efficiency and reduced costs through ML models at APM Terminals and led the automation of legal response generation with measurable organizational impact.
Academic Contributions
While Trivedi’s contributions are predominantly industry-focused, they are deeply rooted in academic principles. His projects reflect an advanced application of theoretical frameworks such as PEFT (Parameter-Efficient Fine-Tuning), Monte Carlo simulations, and statistical hypothesis testing. He regularly engages with the academic community through his certifications, such as the Databricks Professional certification for GenAI implementation, and through ongoing innovations that push the boundary of what AI can accomplish in real-world scenarios.
Future Vision and Impact
Mitul Trivedi brings deep domain expertise in legal operations to the evolving field of Generative AI, positioning him uniquely to design solutions that are both innovative and responsible. His work focuses on enhancing LLM performance through Retrieval-Augmented Generation (RAG), advancing multilingual AI capabilities, and embedding AI safety principles into legal tech applications.
Drawing on years of experience addressing complex legal workflows, Trivedi ensures that every technological advancement aligns with the realities of legal practice and compliance. His commitment to responsible AI not only strengthens trust and transparency but also lays the groundwork for ethical, scalable systems that can transform the legal industry and beyond.
