Publicly-available research on legal AI adoption, court-attested AI uses, and mid-market firm trends.
This page surfaces publicly-available research on legal AI adoption, court-attested AI uses, and mid-market firm trends. Every figure cites its primary source. Xycora does not publish customer case studies until our customers are ready to go on the record.
3 in 10 lawyers in firms of 2–9 attorneys report using AI tools, up from 19% in 2022. Technology adoption varies significantly by firm size, with larger firms reporting higher usage rates. The data reflects a measurable shift in AI normalisation across US legal practice.
Source: American Bar Association, 2023 Legal Technology Survey Report — americanbar.org →
Annual survey of 700+ legal professionals across 10 countries. Key findings include growing AI adoption pressure from clients and managing partners, and increasing investment in legal technology infrastructure. Client-driven demand is identified as the primary adoption accelerant.
Source: Wolters Kluwer, Future Ready Lawyer Survey, 2023 — wolterskluwer.com →
Several federal and state courts have issued standing orders requiring disclosure of generative AI use in filings. CodeX has tracked and catalogued over 60 such orders as of early 2024, reflecting a shift toward formal court oversight of AI-assisted legal work. Disclosure requirements are now standard in an increasing number of jurisdictions.
Source: Stanford Center for Legal Informatics (CodeX), 2023–2024 — law.stanford.edu →
Survey of large law firms and corporate legal departments. Findings indicate that 62% of lawyers believe generative AI will have a high or transformative impact on the legal industry, while 40% report their firm has already adopted at least one generative AI tool for legal work. Investment in AI tooling is accelerating across firm sizes.
Source: Thomson Reuters Institute, 2024 Report on the State of the Legal Market — thomsonreuters.com →
Legal professionals' work has one of the highest proportions of time spent on activities that generative AI can potentially automate, particularly drafting, research, and document review — estimated at roughly 22% of total working time in the legal sector. The report identifies legal services as a high-impact sector for near-term AI productivity gains.
Source: McKinsey Global Institute, "The Economic Potential of Generative AI", June 2023 — mckinsey.com →
A growing body of legal commentary addresses whether AI-generated work product retains privilege protections, and how firms should structure AI tool deployment to preserve privilege and confidentiality obligations under applicable rules of professional conduct. The emerging consensus points to the importance of documented workflows and controlled AI access in maintaining privilege claims.
Source: Harvard Law Review Forum, 2023–2024 — harvardlawreview.org →