Free Guide for Litigators: How Attorneys Can Safely Adopt AI Without Ethical Risks → Download Now
Free Guide for Litigators: How Attorneys Can Safely Adopt AI Without Ethical Risks → Download Now
We create reliable litigation technology grounded in real law and experience, designed to organize evidence, validate citations, and deliver ready-to-file work product in one connected platform.
Our team combines experienced litigators, AI engineers, researchers, and data scientists to solve real challenges in modern litigation—building tools rooted in everyday legal practice that leverage technology to improve efficiency and quality.
Every case citation is checked against verified U.S. legal sources. Every fact used is verified at the PinCite level. No hallucinations. No guesswork. Accuracy is the core of everything we build.
We work with law firms, researchers, and industry partners to promote responsible AI adoption and strengthen the legal profession as a whole.
No. Litmas AI was engineered with strict multi-step verification and guardrails that eliminate hallucinations. Every output is checked against verified legal databases before it reaches you. This was the single most important design decision in building the platform. Our co-founder experienced the same frustrations with generic AI tools that you have, which is exactly why Litmas AI was built with citation validation as a foundational requirement, not an afterthought.
Litmas AI cross-verifies every citation using verified U.S. court opinions to ensure all references are real, relevant, and reliable. The platform uses a dual-layer citation validation system that checks every case and statute against trusted legal sources before it reaches you. If a citation cannot be verified, it gets removed. You won’t see unvalidated citations in your output.
Many AI-assisted legal tools provide general chat experiences or focus on isolated tasks. Litmas AI is different because it is built specifically around litigation workflows, connecting your case documents, evidence, and case law into a single drafting pipeline. Every output is fully sourced and designed for use in active cases, not just for general legal Q&A. Additionally, Litmas AI’s dual-layer citation validation addresses the hallucination problem that users of other platforms frequently report.
Yes. Litmas AI can draft motions, pleadings, and responses tailored to your jurisdiction. The platform uses your uploaded case documents and validated case law to produce motion drafts tied to your specific facts. You maintain full editorial control and can review every section before submission. Attorneys using Litmas AI typically reduce motion drafting time by 60 to 80 percent. A motion that previously took one to two days can often be drafted in a few hours, with supporting facts and citations fully organized.
Yes. Data security and client confidentiality are foundational to Litmas AI. Your uploaded case documents and work product are protected with enterprise-grade encryption and access controls. We understand that attorneys have professional ethical obligations regarding client data, and our platform is built to meet those requirements.
We hear this constantly, and it’s the reason Litmas AI exists. Many attorneys have tried tools like CoCounsel, Harvey, Lexis AI, or ChatGPT and found that the output is generic, the citations are unreliable, or the tool just isn’t thorough enough for real practice. Litmas AI was built by a litigator who experienced those same frustrations. The platform was purpose-built for the specific demands of litigation: accuracy, traceability, and outputs you can actually file. Every citation goes through dual-layer validation. We encourage you to book a demo and see it work on a real case.
Wayne is the Chief Legal Officer and also serves as the President of Litmas Inc. Wayne has extensive civil litigation experience representing both Plaintiffs and Defendants in various business & commercial litigation, appellate litigation and negligence & tort matters having practiced in both the federal and state courts.
Wayne is a member of the Florida, Missouri and Massachusetts Bars, and began his career in appellate litigation, has served the managing partner of Xander Law Group, P.A. for 7 years and currently, Wayne serves as the Chief Compliance Officer of an SEC registered financial advisory services firm.
Wayne remains highly sought after for his experience in appellate litigation and has been involved in some 60+ appeals and provides services to a number of South Florida based commercial litigation firms.
Ami has been having a successful career working with financial institutions as well as real estate development.
In 2002, he founded Qpay, Inc. creating a real time payment processing platform for the millions of unbanked consumers in the USA, effectively providing them with access to various bill pay and telecommunication programs.
Qpay was subsequently sold to InComm, Inc. Ami is involved in many ventures including John Legend and Chrissy Teigen’s Kismet new pet food business, Vatom, and others.
Heather is an Executive Account Manager with Litmas. She graduated from Portland State University’s Hatfield School of Government, cum laude, and is a Certified Paralegal and Certified Legal Document Preparer. She also received her leadership certificate from the Dublin Leadership Academy.
Heather’s legal career spans 25 years where she has held senior paralegal roles with private practice law firms and corporations like The Wendy’s Company. She has years of experience in litigation, trial prep, real estate, employment, and probate matters. Her combined in-house and litigation background informs her work here at Litmas AI. Heather is involved in her local Bar association, Rotary club and plays on a weekly trivia team. In her spare time, she enjoys hiking, yoga, traveling, and cooking with friends and family.
Christina Brauer is the GTM Advisor at Litmas AI, where she brings deep expertise in B2B marketing and AI technology to guide the company’s strategy. With over 15 years of experience spanning Google, startups, and AI companies, Christina specializes in data-driven marketing and building scalable revenue engines that drive measurable growth.
Christina’s career began at Google, where she served as an Account Strategist, developing expertise in data-driven marketing and performance optimization. She later held marketing leadership roles at innovative startups, including fab.com in Berlin and New York, and served as a coach at 500 Startups in London, where she guided early-stage companies through critical growth phases.
Christina has established herself as a leader in B2B paid marketing, helping companies directly connect marketing investments to pipeline and revenue outcomes. Her work with enterprise clients like CBRE and AI companies like Lambda has produced transformative results—saving hundreds of thousands in ad spend while quadrupling pipeline value and navigating the unique challenges of marketing sophisticated AI solutions to technical audiences.
At Litmas AI, Christina applies this expertise to one of marketing’s most challenging contexts: introducing AI technology to attorneys who operate on contingency models and approach new technology with justified caution. She has built Litmas’s marketing function from the ground up, implementing sophisticated automation workflows, optimizing paid campaigns across multiple platforms, and conducting deep customer research to understand the specific barriers attorneys face when considering AI adoption.
Christina’s methodology centers on trust-building through validation, outcome-focused messaging, and data-driven decision making. Her combination of technical expertise from Google, startup experience across multiple markets, proven results with AI companies, and strategic insight into complex B2B sales cycles positions her to guide Litmas AI’s expansion in the legal technology market.
Yaro is the Founding Front-End Engineer at Litmas AI. With over 15 years of experience building high-performance, scalable web applications, he specialises in turning complex, domain-heavy workflows into fast, intuitive tools that legal teams actually enjoy using.
Before joining Litmas AI, Yaro was responsible for front-end architecture and delivery of large-scale, customer-facing platforms at Capgemini Engineering, including the SMARTY UK MVNO web application. There, he directed a team of engineers through a major product expansion, introduced a fully content-managed architecture to cut developer effort, and modernised engineering stack along with app redesign to improve usability, conversion, and retention across a rapidly growing customer base.
Previously, Yaro spent several years delivering web applications for major US-based enterprises in the energy efficiency, robotics and telecom-adjacent space. He built and refined data-heavy interfaces for monitoring and optimising energy usage, improved page performance, migrated legacy features to modern stacks, and contributed to secure access-management and collaboration tools used at scale.
At Litmas AI, Yaro leads the front-end architecture and user experience across the web application. He partners closely with litigators, product, and data teams to ensure that complex scheduling logic, case data, and AI assistance are surfaced through clear, reliable, and responsive interfaces. His focus is simple: give litigators the speed, clarity, and confidence they need—without making them think about the technology that powers it.
Yadidya is a forward-thinking technologist known for unifying advanced AI development, full-stack engineering, and large-scale data architecture into a single, cohesive discipline. He has built a reputation for transforming complex technical challenges into secure, scalable, and intuitive solutions that drive meaningful business impact.
With a background spanning intelligent automation, cloud infrastructure, and enterprise systems design, Yadidya brings a unique, end-to-end perspective to modern technology development. His work has been recognized for exceptional technical depth, particularly in architecting autonomous, multi-agent AI systems and high-assurance data pipelines capable of performing tasks traditionally handled by human operators with high reliability and precision.
Guided by a commitment to practical innovation, Yadidya focuses on delivering production-ready systems that elevate organizational decision-making, streamline workflows, and set new standards for technical excellence.
