Investment Frenzy: $4.3 Billion and Counting
Legal tech funding hit record highs in 2025, with the sector raising $4.3 billion across 356 deals — a staggering 54% increase from 2024s $2.8 billion. Investors are betting heavily that AI will reshape how legal services are delivered, priced, and consumed.
Leading the charge is Harvey AI, which raised $200 million in March 2026 at an $11 billion valuation, led by Singapores GIC and Sequoia Capital. The company now serves more than 100,000 lawyers across 1,300 organizations and reported $190 million in annual recurring revenue as of January 2026 — nearly double its August 2025 figure. Sequoia has now led three of Harveys funding rounds, calling it the Salesforce of the AI era.
Other major raises included Sweden-based Legora ($150 million at a $1.8 billion valuation), EvenUp ($150 million at a $2 billion valuation), Eve ($130 million at a $1 billion valuation), and Eudia, which emerged from stealth with $105 million in Series A funding from General Catalyst. The Goldman Sachs estimate that 44% of legal work could eventually be automated continues to drive investor conviction across the board.
Adoption Explodes: AI Goes Mainstream in Law Firms
According to the 2025 Generative AI in Professional Services Report, the share of legal professionals actively using generative AI jumped from 14% in 2024 to 26% in 2025 — and by mid-year, three in four legal and compliance teams reported using AI to manage workloads and compliance demands.
For many lawyers, 2025 marked the inflection point: AI moved from optional experiment to professional standard. Law firm leaders standardized AI-powered research and drafting tools, expanded innovation teams, and began mandating AI training for junior associates.
Perhaps the boldest symbol of this shift came in May 2025, when Garfield.Law — described as the worlds first AI-driven law firm — received official authorization from the Solicitors Regulation Authority (SRA) in England and Wales. The firm uses a generative AI platform to help individuals and small businesses recover unpaid debts through the small claims court system, demonstrating that AI can now run end-to-end legal workflows autonomously.
On the agentic AI frontier, A&O Shearman and Harvey jointly launched AI agents in April 2025 targeting antitrust filing analysis, cybersecurity, fund formation, and loan review — marking a new era of autonomous legal task execution without step-by-step human prompting.
The Courts Weigh In: Copyright and AI Training
2025 also saw the first substantive judicial decisions on whether using copyrighted works to train AI models constitutes fair use — a question with hundreds of billions of dollars at stake.
In Bartz v. Anthropic (June 23, 2025), Judge William Alsup of the Northern District of California ruled that Anthropics use of lawfully acquired books to train its Claude LLMs constituted fair use, describing the technology as among the most transformative many of us will see in our lifetime. Just two days later, Judge Vince Chhabria reached a similar conclusion in Kadrey v. Meta, granting summary judgment to Meta — though he cautioned that market harm remains the most critical factor and will often cause plaintiffs to decisively win if evidence of market dilution is presented.
These decisions stand in contrast to the earlier Thomson Reuters v. ROSS Intelligence ruling (February 2025), in which Judge Stephanos Bibas rejected ROSSs fair use defense for using Westlaws copyrighted headnotes to train its legal research AI. That case is now headed to the Third Circuit on interlocutory appeal. As of late 2025, the scoreboard reads: 2 judges for fair use, 1 against — with no further rulings expected before summer 2026.
Regulation: A Federal-State Showdown
On the regulatory front, the U.S. Judicial Conference approved proposed Federal Rule of Evidence 707 in June 2025, which would require AI-generated evidence to meet the same admissibility standards as expert witness testimony. The public comment period ran through February 2026.
Meanwhile, the Trump Administration established an AI Litigation Task Force within the DOJ to challenge state-level AI laws deemed inconsistent with federal policy, signaling a major battle between federal deregulation and state-level AI oversight. Courts have already issued at least 66 opinions sanctioning attorneys for submitting AI-generated fake case citations — a stark reminder that the human duty of oversight remains non-negotiable.
Conclusion
The legal AI industry in 2025-2026 is defined by speed, scale, and stakes. Billions of dollars are flowing in, adoption is accelerating across every segment of the profession, and courts are beginning to draw the legal boundaries of the AI era. For lawyers, law firms, and legal tech builders alike, one thing is clear: the firms that adapt will lead — and those that do not risk being left behind.
