M&A in the legal services market tilts towards firms with credible AI strategies
M&A activity in the legal services market is expected to remain strong over the coming period, but the most attractive targets will increasingly be businesses that have embraced AI and agentic AI to enhance their operating models, writes Ollie Chambers, Director at Arrowpoint Advisory.
In the last six months, many predictions have been made regarding the expected impact of generative AI on the legal services sector. Depending on the source, these predictions have varied substantially concerning both the severity of the forecast disruption and its extent. Yet, despite fears of wholescale AI-led displacement across the professional services sector at large, investor interest in the legal market is proving resilient.
M&A activity across the sector has remained broadly stable into 2026 with transactions continuing to close, be they investment from institutional investors or wider market consolidation. According to the latest Legal Services Market Update from Arrowpoint Advisory, 19 transactions completed in Q1 2026, almost in line with the 20 deals recorded in Q4 2025.
That’s not to say that the rise of agentic AI has not impacted the deal environment. Initially, conversations around AI were dominated by optimism. The focus was on the available operational gains from greater efficiency, improved productivity, enhanced scalability, and the opportunity to reduce service delivery costs through automation.
However, more recently due diligence has become increasingly defensive with a laser focus on revenue vulnerability and the potential for business model displacement.
This shift means that diligence processes have become significantly more targeted, technical and time-consuming. Audits are now assessing workflow standardisation, reliability and the potential for automation, as well as the likelihood of intensifying pricing pressure, client stickiness and the risk of AI-led insourcing.
M&A patterns
As a result, execution timelines across the industry have extended. Transactions are still happening, but investors are approaching opportunities with greater caution and a much sharper focus on resilience.
Businesses with an “AI-resistant moat” around their service offering that operate in highly-specialised or judgement-intensive areas are attracting strong levels of interest.
Firms with deep expertise in attractive end-markets such as sport, media, technology and life sciences continue to be in demand. These businesses benefit from a combination of specialist knowledge, embedded client relationships and regulatory complexity that makes displacement by AI far less likely.
The broader data supports this trend. Specialist legal services firms continued to account for a significant proportion of transactions in Q1 2026 – 13 out of 19 transactions – including QPE’s investment into Canford Law (which specialises in insurance litigation and commercial litigation) and Cordillera’s investment into Northridge (a sports specialist law firm).
Above all, an ability to showcase a strong set of KPIs across the fundamental value drivers is key. Businesses with accurate, forensic data that evidence growing, resilient and scalable services with healthy profitability, sustainable margins and strong cash collection will continue to be sought after.
AI at the core
Alongside this, a credible AI strategy has become a must-have. The firms making the strongest impressions on investors are those taking a disciplined and structured approach by identifying the workflows where AI can genuinely enhance productivity, embedding tools thoughtfully into existing processes and maintaining strong governance around risk and compliance.
The legal sector has now moved beyond the initial wave of fear surrounding disruption. The dust is beginning to settle, and while M&A activity remains robust, investor priorities have shifted.
Looking ahead to the remainder of 2026, legal services businesses will continue to attract investment. However, investors will be closely monitoring which firms are adapting intelligently to the changing landscape and which are falling behind.
