Industries rely heavily on analytics, predictive modeling, and AI-driven insights, but one area remained surprisingly dependent on instinct alone: jury selection.
For decades, trial attorneys made some of the most consequential decisions of their cases based largely on intuition and courtroom experience. But for Xavi Navarro, Co-Founder and President of Momus Analytics, that gap represented an enormous opportunity for innovation.
“Legal decisions of staggering economic and human consequence were still being made without the analytical rigor that every other high-stakes industry adopted years ago,” Navarro explains.
Founded in 2019, Momus Analytics emerged with a bold vision to modernize jury selection using behavioral analytics, predictive modeling, and real-time courtroom intelligence. By combining legal expertise, technology, and data science, the company has rapidly become one of the fastest-growing legal-tech innovators in the country.
Today, Momus Analytics is helping trial teams across the United States make smarter, faster, and more defensible juror decisions in real time.
A Unique Blend of Law, Technology, and Analytics
What makes Momus Analytics particularly distinctive is the background of its leadership.
Navarro’s career spans enterprise technology, capital markets, and legal practice. Prior to co-founding Momus, he worked within IBM’s Wall Street Unit, helping banks and insurers implement advanced analytics platforms. He later helped scale predictive analytics initiatives for a Miami-based startup while simultaneously building his legal career.
That combination of disciplines became central to Momus’ identity.
“My background sits at the intersection of three worlds that rarely talk to each other — enterprise technology, capital markets, and the courtroom,” Navarro says.
Alongside CEO Alex Alvarez, a board-certified civil trial lawyer and Fellow of the American College of Trial Lawyers, the team transformed years of courtroom-tested jury analysis methodologies into a scalable software platform.
The result is a proprietary analytics engine that enables trial teams to evaluate jurors using structured behavioral data rather than relying solely on instinct.
Building a Platform Designed for the Courtroom
Unlike traditional business intelligence platforms designed for office environments, Momus Analytics was built specifically for the fast-paced reality of trial proceedings.
“Trial teams don’t have the luxury of sitting behind dashboards with time to think,” Navarro explains. “Jury selection moves fast, and decisions must happen in seconds.”
The platform performs multiple functions simultaneously during voir dire:
- Organizing case-specific juror questionnaires
- Updating juror rankings in real time
- Managing seating charts and strike strategies
- Synchronizing notes and collaboration across legal teams
Rather than overwhelming attorneys with raw data, Momus delivers actionable insights designed specifically for courtroom decision-making.
Every output is designed to inform the attorney, surfacing what matters so they can make the call.
This practical, high-speed functionality has helped Momus establish itself as a category-defining platform within legal analytics.
The Momus Methodology: Turning Insight into Results
At the core of the company’s success lies the Momus Methodology, a proprietary scoring algorithm refined through years of live courtroom experience.
The methodology was tested extensively in real trials and has contributed to more than $2 billion in plaintiff verdicts.
These include several landmark verdicts exceeding:
- $833 million
- $242 million
- $220 million
“The feedback loop between courtroom and codebase is something a pure software company simply cannot replicate,” Navarro says.
Perhaps more importantly, the methodology has demonstrated consistency across different jurisdictions and varying levels of attorney experience.
“That repeatability is the truest measure of whether a methodology is real,” Navarro adds.
One Wyoming trial lawyer described the platform’s impact by saying:
“Momus takes much of the guesswork out of jury selection and allows data-driven decisions. It gives me far more confidence in trusting science than struggling with gut feelings alone.”
Redefining Speed and Precision in Trial Strategy
Courtroom decisions often unfold under immense pressure. Attorneys may only have moments to decide whether a juror could fundamentally alter the outcome of a case.
Momus Analytics compresses hours of manual deliberation into real-time scoring and actionable insight.
“The platform gives trial teams a strategy they can execute under pressure,” Navarro explains. “That combination of speed, structure, and auditability is what allows clients to move faster without sacrificing rigor.”
The platform also creates a defensible record of juror-related decisions, providing attorneys with greater confidence and operational consistency throughout the trial process.
This balance of analytical precision and usability has become a major differentiator for Momus in the growing legal-tech sector.
Scaling Responsibly in the Age of AI
As artificial intelligence reshapes industries worldwide, Momus Analytics is taking a measured and ethically grounded approach to implementation.
The company actively integrates machine learning into predictive scoring, pattern detection, and analytics. However, it deliberately avoids using AI in ways that could compromise fairness or constitutional protections.
“The most advanced thing a legal-tech company can do right now isn’t shipping the flashiest model,” Navarro says. “It’s shipping the model that holds up to legal scrutiny and operates ethically.”
Importantly, Momus excludes protected demographic characteristics from its scoring models, ensuring its technology remains aligned with legal and ethical standards.
This careful balance between innovation and responsibility is helping the company build trust within one of the most tradition-bound industries in the world.
Overcoming Resistance Through Education and Proof
One of the biggest challenges Momus faced was not technical—it was cultural.
Many veteran trial attorneys initially questioned whether software could meaningfully improve a process traditionally governed by courtroom instinct.
“The first conversation often begins with skepticism,” Navarro admits.
Rather than attempting to replace attorney intuition, Momus positioned its platform as a way to strengthen and validate it.
The company invested heavily in legal education, conference participation, and practitioner collaboration. As attorneys began stress-testing the methodology in real cases, adoption accelerated.
“The conversation quickly moved from ‘why’ to ‘how soon can we onboard?’” Navarro recalls.
This practitioner-first philosophy has become a key driver behind the company’s rapid growth trajectory.
Expanding the Future of Legal Intelligence
Looking ahead to 2026, Momus Analytics is entering a new phase of expansion.
The company plans to broaden its presence across:
- Commercial litigation
- Criminal defense
- Expanded trial preparation workflows
- Virtual focus group analytics
- Historical verdict benchmarking systems
At the same time, Momus continues to build one of the legal industry’s most distinctive proprietary datasets, creating significant long-term competitive advantages.
Navarro believes the future of legal practice will increasingly rely on structured decision intelligence.
“The organizations that win the next decade will be the ones willing to bring rigor to decisions their industries once considered too human or too nuanced to model,” he says.
About Momus Analytics
Momus Analytics is a legal technology company specializing in jury selection analytics and courtroom decision intelligence. Founded in 2019, the company combines behavioral analytics and trial expertise to help legal teams make smarter, data-driven juror decisions in real time.
Through its proprietary Momus Methodology, the platform has contributed to over $2 billion in plaintiff verdicts and continues to redefine how modern trial strategy is executed across the United States.
Company Details
- Company Name: Momus Analytics
- Founding Year: 2019
- Office Locations: Miami, FL
- Official Website: www.momusanalytics.com
- Industry/ Sector: Legal Tech
Featured Leader’s Profile
- Name of the Featured Leader: Xavi Navarro
- Designation: Co-Founder & President
- Brief Background & Experience:
Xavi Navarro is the Co-Founder and President of Momus Analytics, where he leads the execution of the company’s vision to bring data science, behavioral analytics, and modern software to one of the legal industry’s most consequential — and historically most intuition-driven — decisions: who sits on the jury.
A career-long bridge between technology, finance, and law, Xavi has spent more than 15 years building, selling, and deploying enterprise technology, and now applies that operator’s lens to legal innovation. Under his leadership, Momus has commercialized the Momus Methodology, a proprietary framework that replaces gut-feel juror evaluation with a rigorous, data-driven process that trial teams can execute repeatably across jurisdictions.
Xavi has battle-tested the methodology in the field as a jury consultant and Partner at The Alvarez Law Firm. In that capacity, he has contributed to more than $1.8 billion in verdicts as a consultant — including $833M, $242M, and $220M verdicts — and has helped his firm secure over $130M in trial wins of its own, including a $91M product liability verdict in Hawaii and an $18M verdict in Oregon. Xavi is licensed to practice in Florida, Hawaii, Oregon, and the District of Columbia, serves as Vice Chair of the American Association for Justice’s Jury Bias Litigation Group, and is on the Board of Directors for the Miami-Dade Trial Lawyers Association.
Xavi’s path into legal technology began in enterprise software and capital markets. Before founding Momus, he was Director of Business Development at Entic, a Miami-based energy analytics startup, where he scaled go-to-market for its predictive analytics platform. Earlier, he spent several years in IBM’s Wall Street Unit in New York City, selling enterprise technology to investment banks, asset managers, retail brokerages, and commercial insurers. Before IBM, Xavi worked in the retail brokerage divisions of Citigroup’s Smith Barney and Wachovia Securities (now Wells Fargo), structuring portfolio strategies for high-net-worth clients and institutions. Xavi has long been an active builder in Miami’s tech ecosystem, having served on the Board of Directors of Stardom Up and as a member of the Miami Innovation Fund.
He holds a Bachelor’s in Finance from the University of Florida, with minors in Mass Communication and Entrepreneurship, and an MBA from the University of Notre Dame. He earned his Juris Doctor from Florida International University College of Law, where he made the Dean’s List every semester and received the CALI Excellence for the Future Awards in Torts and International Law. When he’s not in trial, Xavi spends his time in Miami with his wife and three daughters.
Company Highlights
- Key Services/Offerings: Analytics Platform for Jury Selection
- Major Achievements or Recognitions:
- Multiple 9 and 8-figure verdicts
- Top Data Science and Analytics Tech 2026
- 2020 National Law Journal Emerging Legal Technologies
- 2024 SaaS Awards Best Company in the Jury Selection category
- 2024 Finalist Shortlist: Best SaaS Product for Law and Legal Services
- Best Data Innovation in a SaaS Product
- Best SaaS Product for Business Intelligence or Analytics
- Highest Customer Satisfaction with a SaaS Product
- Best SaaS Product for Loyalty and Retention