Legal AI needs purpose-built solutions, not fine-tuned general models, says Legora CEO Max Junestrand

Max Junestrand, CEO of legal AI platform Legora, asserts that the legal industry requires purpose-built AI solutions rather than relying on general AI models or fine-tuning approaches. He explains that legal workflows are too complex for off-the-shelf AI and that fine-tuning proved ineffective at Legora’s scale. Instead, Legora focused on building specific applications on top of foundational models, a strategy that demands continuous tracking of model capabilities and product adaptation.

Junestrand highlights the unique opportunity for AI in the legal market, where firms face low differentiation and are eager for solutions that improve efficiency and reduce costs. He emphasizes that legal AI tools must demonstrably outperform readily available models like ChatGPT or Claude to justify their cost. Legora’s $550 million Series D funding round at a $5.55 billion valuation supports Junestrand’s vision.

Furthermore, Junestrand prioritized product quality and reliability over rapid sales growth, delaying sales to ensure a stable onboarding process for clients. He stresses that in the fast-evolving AI landscape, a focus on fundamental quality and a willingness to adapt the product roadmap are more critical than speed to market.

(Source：Complete Ai Training)