Bringing the future of AI to your business
We build cutting-edge AI solutions to automate workflows, enhance productivity, and drive business growth. Join us in shaping the future of intelligent automation.
Where it all began
CaseForge LLC is a Virginia-based legal AI startup developing automation tools that transform how immigration cases are prepared.
Our platform helps attorneys and paralegals analyze client evidence, categorize documents under the right exhibits, and highlight key materials — all with human-in-the-loop control.
We take pride in being a trusted partner for businesses worldwide—helping startups, enterprises, and organizations streamline operations while saving thousands of hours every year. With an industry-leading 99.9% accuracy rate, our AI solutions are designed to reduce human error, cut costs, and enhance productivity across various sectors.
We take pride in being a trusted partner for businesses worldwide—helping startups, enterprises, and organizations streamline operations while saving thousands of hours every year. With an industry-leading 99.9% accuracy rate, our AI solutions are designed to reduce human error, cut costs, and enhance productivity across various sectors.
Why choose us?
Meet our team
Dr. Eman Mahmoodi is an applied AI scientist and innovator with over a decade of experience designing intelligent, data-driven systems across NLP, IoT, and financial trading industries. As the Founder and CEO of ExpressJoy, he leads the mission to redefine the future of immigration law through Agentic AI and intelligent automation.
Eman has a unique ability to bridge advanced machine learning research with real-world legal applications, leveraging AI to reduce complexity, improve accuracy, and empower professionals — not replace them. Partnering closely with immigration attorneys, he is building a new class of AI-powered legal workflow tools that combine legal expertise with state-of-the-art automation to accelerate case preparation and improve access to justice.
Professional Background
Eman has held key research and leadership roles at Hughes, Interactions, and ExpressJoy, most recently serving as a Senior Principal Data Scientist, where he led teams developing AI solutions for language understanding, predictive modeling, and algorithm optimization.
His professional focus spans optimization algorithms, reinforcement learning, predictive modeling, time-series forecasting, and applied AI for workflow automation.
Education
Ph.D. in Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ (2017)
Dissertation: Cognitive Mobile Cloud Computing: Mathematical Analysis, Algorithm Implementation & Experimental Verification
Focus: Optimization, reinforcement learning, predictive modeling, stochastic gradient descent, and distributed computing systems.
Tools: Python, IBM CPLEX Optimizer, Linux, MATLAB, Android.
M.S. & B.S. in Electrical Engineering, Iran University of Science and Technology
Thesis: Resource Allocation under Soft Spectrum Sensing in Cognitive Networks
Focus: Optimization and algorithm design for network systems.
Patents
Automated Workflow Selection for Agent within an Electronic Conversation System, US Patent No. 11625152, Apr 2023
Intelligent Agent Assistant for Natural Language Understanding in a Customer Service System, US Patent No. 11743378, Aug 2023
System and Method for Automatic Induction of Dialog Flows, US Patent Pending, Jan 2021
System Apparatus and Methods for Cognitive Cloud Offloading in a Multi-RAT Enabled Wireless Device, US Patent No. 20170164237, Dec 2015
Honors and Awards
Inventor Award, New Jersey Inventors Hall of Fame (2016)
Best Ph.D. Dissertation Award, Stevens Institute of Technology (2017)
Innovation and Entrepreneurship Fellowship, Stevens Institute of Technology (2012–2017)
NSFCloud Research Scholarship, National Science Foundation (2014–2016)
Outstanding Research Assistant, ECE Department, Stevens Institute of Technology (2014)
Leadership Experience
Leading AI innovation and project updates to executive leadership teams (2024–Present)
Founder and Director of Technology & Marketing, ExpressJoy (2023–Present)
Led research task design and dialog systems team at Interactions (2018–2023)
Supervised graduate research interns (2018–2019)
Mission
Dr. Mahmoodi’s work at CaseForge represents the fusion of AI engineering, academic innovation, and legal collaboration.
By partnering directly with experienced immigration lawyers, he ensures that every AI capability is grounded in legal expertise , supporting attorneys, paralegals, and even self-filing clients in creating smarter, faster, and more compliant immigration cases.