AI in law firms – how associates really feel

AI in law firms is often discussed in terms of tools, pilots and partnerships. But far less attention is paid to the people expected to use this technology every day. A new Chambers Talent Research report shifts the focus inward, examining how associates actually experience AI in practice – and what that reveals about the state of legal AI adoption. 

Drawing on large-scale associate research, the findings challenge some common assumptions about what it means to be “ahead” on AI and point to a more human, and more cultural, explanation for why some top US law firms are pulling ahead while others stall. 

The scale of AI activity across the market is substantial. Between August 2025 and January 2026, Chambers surveyed over 8,000 associates across more than 100 US law firms, with a focused analysis on early‑career associates at 64 leading firms. 

At a headline level, associates report fairly positive sentiment. On average, firms score 5.5 out of 7 for investment in AI training and 5.4 out of 7 for senior lawyers embracing AI in practice. These figures suggest that AI is visible and actively promoted across much of the market. 

But confidence – the measure that most directly reflects everyday use – tells a more tentative story. 

When associates rate their personal confidence using AI tools, the market average sits at 5 out of 7, below both training and leadership measures. 

One of the report’s central charts illustrates this clearly, showing the three measures clustered closely together – but with confidence consistently at the bottom. Despite widespread AI initiatives, many associates appear unconvinced that these tools are fully embedded into their daily work.

This does not necessarily indicate failure, more a signal of where adoption may currently be stalled – and where firms may be overestimating progress. 

Looking beyond the averages reveals an additional layer. The spread of associate responses varies significantly by theme. 

Looking specifically at training satisfaction, we found the widest interquartile range in the entire dataset (1.22), indicating a much larger gap between firms at the top and bottom of the market than headline averages suggest. In contrast, confidence scores are far more tightly grouped. 

That imbalance raises a question the report explores in detail – why do some firms generate far stronger outcomes from similar levels of AI activity?

Hidden within the wider dataset is a small group of firms that consistently perform well across all AI‑related measures. Only 12 of the 64 firms analysed occupy the top quartile simultaneously for associate confidence, training satisfaction and leadership embrace. 

This group is not defined by any single tool or platform. What differentiates them – and why that matters – is one of the central themes addressed in the full report.

The associate experience suggests that AI in law cannot be understood purely as a technology rollout. Instead, it reflects deeper choices about training, leadership behaviour and how change is modelled day to day. 

The report connects these AI signals with broader aspects of the associate experience, hinting that firms getting AI right may also be getting other fundamentals right at the same time. The overlap is suggestive rather than definitive – but difficult to ignore. 

AI in law firms is still at a formative stage. Associates are encountering new tools, new expectations and new ways of working – often without a settled sense of what “good” looks like yet. 

These early patterns suggest that differentiation is beginning quietly, inside firms rather than in public announcements. As AI use matures, those internal signals are likely to become far more visible.

Read the full Chambers Talent Research report to explore what associates say about AI in law firms, why some firms are quietly pulling ahead, and what these early signals may mean for the future of talent and technology 

Read report