ElAbogado - CodeX Group Meeting - April 23, 2026

Why It Matters

By automating legal lead qualification at scale, elAbogado reduces client acquisition costs and expands affordable legal assistance, reshaping the market for law‑firm referrals across multiple jurisdictions.

Key Takeaways

• elAbogado matched 2.5M users with appropriate lawyers via AI.
• Platform handles over 1,500 legal leads daily across five countries.
• New AI agents provide 24/7 automated intake and qualification.
• Machine‑learning pipeline cut lawyer‑staffing needs by roughly 50%.
• Recognized by OpenAI and European labs for innovative legal tech.

Summary

At the CodeX Group meeting on April 23, 2026, Martí Manent, founder of elAbogado, and data scientist Veronica presented the platform’s latest AI‑driven legal‑lead management system. The talk followed the FutureLaw conference and highlighted how the Spanish‑origin startup is scaling its service across Spain, Puerto Rico, Mexico, Chile and Colombia.

elAbogado reports more than 2.5 million users have been matched with appropriate counsel, processing over 1,500 leads each day. The company built a proprietary pipeline that combines fifteen years of case data with commercial and open‑source LLM tools, enabling automated intake, qualification and lawyer routing.

Manent likened the service to a health‑care model: instead of a patient seeing the nearest doctor, the AI matches a client with a specialist who actually handles the issue. Since deploying the AI agents in 2025, human lawyer involvement in initial triage has dropped by roughly 50 %, and the platform earned badges from OpenAI and European AI labs.

The technology promises to democratize access to justice by lowering cost and response time, while giving elAbogado a competitive edge in the burgeoning legal‑tech market. Its 24/7, multilingual AI front‑end positions the firm to expand further into Latin America and potentially disrupt traditional law‑firm referral models.

Original Description

elAbogado: Building an Agentic Legal Lead Platform | Stanford CodeX

Martí Manent and Veronica Sorin from elAbogado join Stanford's CodeX group meeting to share how they've built one of the most advanced agentic legal lead management systems in the world — handling 1,500+ leads per day across Spain, the U.S., Mexico, Puerto Rico, Chile, and Colombia.

In this talk, they walk through their journey from traditional ML-based lead prioritization (2019) to a fully AI-driven pipeline where agents handle intake calls, WhatsApp, and live chat 24/7 — qualifying cases, routing leads to the right specialists, and even making follow-up calls. Today, ~70% of cases are fully automated, reducing their in-house legal team by half.

Topics covered:

- How El Abogado matches people to the right lawyer for their specific legal issue

- The evolution from machine learning to LLM-powered agents

- Multi-channel AI (voice, chat, WhatsApp) and how latency shaped their tech choices

- Using 15 years of real legal case data to train their agentic system

- Unauthorized practice of law, privacy (GDPR), and U.S. market regulatory challenges

- What's next: expanding to 85–90% automation and entering English-speaking markets