Crosby on Big Law R&D, Legora 100, TR + HotShot, Legal Innovators +

· Source: Artificial Lawyer · Field: Legal & Regulatory — Legal Technology (LegalTech), Corporate Law & Business Legal Services, Intellectual Property & Patents · Depth: Intermediate, medium

Summary

AI-first law firm Crosby recently secured $60 million in funding from investors including Bain Capital and Sequoia, sparking a debate about Big Law's R&D spending. Crosby's founders highlighted that America's top 100 law firms generated $69 billion in profit last year, exceeding Google's R&D budget, yet paid out all of it as partner compensation. While traditional law firms invest in talent training, knowledge banks, and client relationships, they generally do not prioritize self-disruption through new technologies or business models like AI-first firms. The article also notes Legora reaching $100 million ARR, Solve Intelligence acquiring Palito.ai for patent litigation, Litify launching its Agentic Case Expert (ACE) for automated legal workflows, and a partnership between Thomson Reuters and Hotshot to integrate AI and practical skills training for law students using CoCounsel Legal.

Key takeaway

For AI Product Managers evaluating market opportunities in legal tech, recognize that traditional Big Law firms are unlikely to fully embrace disruptive AI-first models in the short term, preferring incremental tech adoption. Your focus should be on developing solutions that either enhance existing law firm workflows without requiring fundamental business model changes, or target the emerging "NewMod" AI-first firms and their clients who are actively seeking transformative legal services.

Key insights

Big Law's R&D focus differs from tech, prioritizing existing service delivery over disruptive innovation.

Principles

Method

Litify's Agentic Case Expert (ACE) uses AI agents for intelligent, autonomous legal workflows, including intake, treatment plans, policy analysis, damages assistance, instant demands, and litigation preparation.

In practice

Topics

Best for: AI Product Manager, Investor, Entrepreneur, Legal Professional, Director of AI/ML, Consultant

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Editorial summary, takeaway, and curation by AIssential. Original article published by Artificial Lawyer.