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Agentic AI built on exclusive arbitration data for arbitration professionals. Uncover insights others will miss and double your productivity. Because exceptional work demands exceptional sources.

Try Jus AI for Free

Agentic AI built on exclusive arbitration data for arbitration professionals. Uncover insights others will miss and double your productivity. Because exceptional work demands exceptional sources.

Try Jus AI for Free

Agentic AI built on exclusive arbitration data for arbitration professionals. Uncover insights others will miss and double your productivity. Because exceptional work demands exceptional sources.

The AI industry has a massive inefficiency problem. People treat context windows like a dumping ground. Thats why we built our custom model, reduced token consumption by half and improved quality of answers at the same time. How? The prevailing assumption is that if you throw enough tokens at an LLM, it will eventually reason its way to the right answer. But in production, stuffing a context window with noisy retrieval is a recipe for hallucinations and burned cash. More token consumption is not a flex. It is usually a symptom of a weak system. At Jus Mundi, we just shipped Jus AI Tenet v5, our proprietary embedding model built from the ground up for arbitration and international law. We built it because standard embedding models struggle with legal data. Standard models retrieve based on surface text similarity. But in arbitration, the exact same paragraph means something entirely different depending on the tribunal, the year, the applicable treaty, and more. When your retrieval model is blind to that context, you are forced to over retrieve to compensate. You pull, lets say, 300 chunks instead of 100, just hoping the LLM can filter the noise. Every token spent on irrelevant material is a token unavailable for actual reasoning. To fix this, we changed the architecture. Tenet v5 encodes over 15 distinct metadata fields directly alongside the document context. We trained it to map passages to a user’s holistic legal intent, not just textual patterns. The downstream effects of fixing the root cause are massive: 46% reduction in overall token consumption. 30% reduction in the margin of error for deep research tasks. 10.2% average quality improvement across all metrics. By feeding the LLM highly precise, context aware data, it does not have to waste processing capacity on noise elimination. Its reasoning is more faithful, and its citations are exact. Owning your own AI stack and aggressively reducing inference costs while driving up quality is the only way to build a sustainable AI business today. Hype does not pay the cloud bill. Real systems do. Massive kudos to the entire Data and AI team for executing this. It takes serious engineering discipline to build foundation models that actually work in the arena. Akshat Agarwal Chris Immel Tushar Behl Dan Watson Paulina Geschke James R. Sourour Jebali Albaraa M. Luis Adrián Cabrera Diego Daniel Popescu Nicole Kim

When the fee is fixed, every hour you save is margin you keep. When a research task takes 70% less time, the fee doesn’t change, but the margin does. Firms using Jus AI compress hours on work clients won’t pay extra for and redeploy that time to work they will. All powered by the world’s largest arbitration database, uncovering insights no general tool can find. Less time, better work, stronger margins. See what it looks like for your practice.

Try Jus AI for Free

Agentic AI built on exclusive arbitration data for arbitration professionals. Uncover insights others will miss and double your productivity. Because exceptional work demands exceptional sources.

Try Jus AI for Free

Agentic AI built on exclusive arbitration data for arbitration professionals. Uncover insights others will miss and double your productivity. Because exceptional work demands exceptional sources.

Try Jus AI for Free

Agentic AI built on exclusive arbitration data for arbitration professionals. Uncover insights others will miss and double your productivity. Because exceptional work demands exceptional sources.

Try Jus AI for Free

Agentic AI built on exclusive arbitration data for arbitration professionals. Uncover insights others will miss and double your productivity. Because exceptional work demands exceptional sources.

Try Jus AI for Free

Agentic AI built on exclusive arbitration data for arbitration professionals. Uncover insights others will miss and double your productivity. Because exceptional work demands exceptional sources.

Today, White & Case LLP announced that it has adopted Jus AI, becoming the first law firm to use it thanks to Jus Mundi’s “agent-to-agent” integration with Legora. We are thrilled to be working with you, Isabel Parker & Max Junestrand! For several years, White & Case has been Jus Mundi’s largest and most demanding client. The firm is now deploying Jus AI within its international arbitration team, which will enable it to deliver greater value to its clients in complex arbitration cases. Thanks to the integration with Legora, this information seamlessly integrates into their daily workflow. White & Case is also one of the firms with the clearest AI strategy! They didn’t make this decision just to look good. They carefully assessed their needs and the solutions available on the market, and reached the conclusion that is already the norm in the tech sector: the future lies in agent collaboration via MCP connectors. Top-tier law firms don’t choose between general-purpose legal AI and specialized legal AI. They combine both to maximize the impact for their clients. Thank you to the White & Case arbitration team (Lucas De Ferrari, Sven Volkmer, Ank Santens, Charles Nairac, Matthew Drossos, Hansel Pham, Abby Cohen Smutny, Damien Nyer, Filippa Exelin, Matthew Secomb) for your continued trust!! We are delighted to accompany you on the rest of this journey. 🌍 Congratulations to the engineering and product teams at Jus Mundi & Legora for implementing this integration in record time 👏

Try Jus AI for Free

Agentic AI built on exclusive arbitration data for arbitration professionals. Uncover insights others will miss and double your productivity. Because exceptional work demands exceptional sources.

Try Jus AI for Free

Agentic AI built on exclusive arbitration data for arbitration professionals. Uncover insights others will miss and double your productivity. Because exceptional work demands exceptional sources.

Try Jus AI for Free

Agentic AI built on exclusive arbitration data for arbitration professionals. Uncover insights others will miss and double your productivity. Because exceptional work demands exceptional sources.

Try Jus AI for Free

Agentic AI built on exclusive arbitration data for arbitration professionals. Uncover insights others will miss and double your productivity. Because exceptional work demands exceptional sources.

Try Jus AI for Free

Agentic AI built on exclusive arbitration data for arbitration professionals. Uncover insights others will miss and double your productivity. Because exceptional work demands exceptional sources.

2026-06-sports-webinar-1

Sports arbitration moves fast. Disputes over transfers, doping bans, and eligibility do not wait for slow research. Our AI has been mastering arbitration for years. Last week, we gave it 5,000+ CAS, BAT and other essential awards to work with. Now it can map tribunal patterns, extract precedents, and surface the arguments that win sports disputes. In seconds. On June 18th, Nicole Kim, our Head of Legal Content, is going live to show you exactly what that looks like in practice. After 30 minutes, you will know how to: → Find CAS and BAT precedents in seconds, not hours → Map tribunal patterns before your case is even filed → Vet arbitrators and counsel with data, not just reputation → Build a research workflow that holds up under real deadline pressure Save your spot: https://lnkd.in/etJW-bUx

Try Jus AI for Free

Agentic AI built on exclusive arbitration data for arbitration professionals. Uncover insights others will miss and double your productivity. Because exceptional work demands exceptional sources.

When the fee is fixed, every hour you save is margin you keep. When a research task takes 70% less time, the fee doesn’t change, but the margin does. Firms using Jus AI compress hours on work clients won’t pay extra for and redeploy that time to work they will. All powered by the world’s largest arbitration database, uncovering insights no general tool can find. Less time, better work, stronger margins. See what it looks like for your practice.

Try Jus AI for Free

Agentic AI built on exclusive arbitration data for arbitration professionals. Uncover insights others will miss and double your productivity. Because exceptional work demands exceptional sources.

2026-01-HocheHour-1x1--headshot-4

Few more days until Axel Colin de Verdière shares a decade of building products that transform industries. Where? Hoche Hour. Where we convene the thinkers shaping law, technology, and global affairs. This session: Conversation. Q&A. Networking with technical leaders who value mission over hype. → What does it take to scale from startup CTO to leading engineering at a €6.4B unicorn? → How do you build tech teams in highly regulated industries? → What changes when your product affects 90 million lives? Axel has navigated all of it. At Cardiologs, https://lnkd.in/ed2w_dkJ, and now Doctolib. Next Thursday. April 9. 6:00pm. Jus Mundi Office, 9 Avenue Hoche. RSVP: https://lnkd.in/e6fNEwpU

Try Jus AI for Free

Agentic AI built on exclusive arbitration data for arbitration professionals. Uncover insights others will miss and double your productivity. Because exceptional work demands exceptional sources.

Try Jus AI for Free

Agentic AI built on exclusive arbitration data for arbitration professionals. Uncover insights others will miss and double your productivity. Because exceptional work demands exceptional sources.

Try Jus AI for Free

Agentic AI built on exclusive arbitration data for arbitration professionals. Uncover insights others will miss and double your productivity. Because exceptional work demands exceptional sources.