Fledger

Fledger is an early-stage European legal AI assistant whose core product, LISA, combines transparent legal research, document extraction, and internal knowledge capture. The live site emphasizes three jobs: cross-referencing answers to a searchable case-law corpus with citations and confidence ratings; training custom legal experts on a team’s own templates, guidelines, and know-how; and extracting structured facts from uploaded documents. The company is based in the Netherlands and leans heavily on Europe-first trust signals: EU data residency, no training on customer data, SSO, encryption in transit and at rest, role-based access control, audit trails, and configurable retention schedules. Market validation is thin. I did not find public pricing, G2/Capterra coverage, Reddit practitioner discussion, or named customer case studies. Funding is also unclear: TLTF lists $118.5K, while the main search results were noisy enough that I could not corroborate it cleanly. The best independent signal was a Global LegalTech Hub member profile and scattered LinkedIn discussion describing Fledger as a transparent, responsible legal AI product. This is real legaltech, but it looks miscategorized in the source data: research-analysis / legal-ai fits materially better than compliance-grc.

Company Info

• Founded: 2019
• Team size: 1-10 employees
• Funding: $118.5K
• HQ: Netherlands
• Sector: In-House Automation, Governance/Compliance/Risk Management

What We Haven’t Verified

This page was assembled from publicly available information. Feature claims and workflow mappings are based on what the vendor and third-party listings publish — not hands-on testing or practitioner feedback.