Robin AI雙線經營失敗 法律科技初創遇困境

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Legora行政總裁指Robin AI有「兩條平行業務模式」

上個月,倫敦法律科技公司Robin AI因籌款未達標,被放上破產市場出售。當時,該初創公司還遭英國稅務海關總署(HMRC)提出清盤申請。Robin AI無法完成5,000萬美元(約3,800萬英鎊)的融資,目前正積極尋找救援買家。據Artificial Lawyer報導,該公司已非常接近找到買家。

Legora行政總裁兼聯合創辦人Max Junestrand向《City AM》表示:「從我角度看,Robin AI同時運作兩條平行的業務模式,一是直接向企業提供法律服務,實際上是提供法律本身的服務;另一則是軟件業務。」

他續稱:「作為一間成長中公司,必須集中火力……我覺得同時經營兩條業務線,專注點不同,實在很難將公司團結起來。」

Junestrand還指出,Robin AI的成立時間在生成式人工智能(Generative AI)興起之前,他認為該公司未能迅速或有效地從「大型語言模型(LLMs)出現前」轉型到「大型語言模型時代」,這對公司造成不利影響。

「不過,我非常尊重那邊的團隊和創辦人。」他說:「事實是,不是所有初創公司都會成功,競爭激烈的市場好處之一,是大家可以觀察其他公司的做法,從中學習。我相信Robin AI所做的事情,大家都能有所啟發。」

Robin AI由Richard Robinson於2019年5月創立,Robinson曾是英國頂尖律師事務所Clifford Chance的實習律師,直至2016年7月。他創立法律科技公司前,亦曾任職美國律師事務所Boies, Schiller & Flexner,後來該所部分員工離職,Natasha Harrison另創Pallas Partners。

Robinson於2024年2月接受《City AM》訪問時表示,Robin AI的目標是「降低法律服務成本,令法律服務更普及、人人可及」。

評論與分析:

Robin AI的案例反映了初創企業在快速變動的科技浪潮中,如何平衡業務策略的重要性。Max Junestrand提出的「兩條平行業務模式」問題,揭示了創業初期若同時投入多條業務線,缺乏明確聚焦,可能會削弱公司資源分配和市場定位,影響整體發展。

此外,Robin AI未能及時從「前大型語言模型」時代轉型至「大型語言模型」時代,凸顯了科技初創必須具備高度靈活性和敏銳度,快速調整產品策略以迎合新技術的挑戰。這對法律科技行業尤其重要,因為法律服務本質上保守,且受監管限制多,若不能緊貼技術變革,便難以保持競爭力。

Robin AI創辦人Richard Robinson的願景是降低法律服務門檻,這是市場迫切需要的改變。然而,願景與執行之間的落差,正是許多初創面對的關鍵挑戰。這次事件亦提醒香港及全球法律科技初創,應加強對核心業務的聚焦,及時調整技術路線,以免陷入資金和市場雙重困境。

最後,Junestrand對Robin AI團隊的尊重和認同,反映出業界對於創新嘗試的包容態度。即使失敗,經驗本身對整個生態系統而言都是寶貴的學習資源。未來,法律科技行業必須從這些案例中吸取教訓,推動更具彈性和專注的發展策略,才能真正實現技術與法律服務的融合創新。

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