By Legal Futures Associate iManage [1]
The iManage Knowledge Work Benchmark Report 2026 reveals where investment is flowing, how AI adoption really looks inside organizations, and why governance and knowledge work maturity now separate leaders from laggards.
The iManage Knowledge Work Benchmark Report 2026 headlines
72% plan to upgrade document management systems (DMS), indicating that investment is broad-based.
32% will actively modernize or upgrade their existing tools over the next three years.
85% of organizations are at some stage of AI adoption, ranging from piloting to full integration.
36% have experienced a policy violation, creating intensifying pressure on governance.
70% expect AI and data privacy regulations to have a transformational impact within three years.
25% say end users are using public AI with little oversight.
iManage Knowledge Work Benchmark Report 2026 executive summary
Across industries, leaders are investing to modernize document management, accelerate digital transformation, and operationalize AI—while racing to build the governance frameworks essential for trust. This executive summary highlights the findings you need to benchmark your progress and prioritize your next moves.
Where investment is heading
Modernizing the document lifecycle is a priority: 72% plan DMS upgrades, while digital transformation momentum splits between significant (25%) and moderate (50%) investment tracks. Over a three-year horizon, respondents favor incremental improvement (46%) and targeted modernization (32%). Less mature organizations skew investment toward DMS upgrades, while more mature organizations channel capital toward broader digital transformation.
AI adoption: Broad reach, different realities
With 85% piloting, implementing, or fully integrating AI, adoption looks mainstream at first glance. Dig deeper and maturity reveals two worlds: top maturity organizations report 27% fully integrated & widely used AI versus 3% among the least mature. Early-stage organizations often remain in planning to explore mode, highlighting the gap between experimentation and enterprise grade deployment.
Governance & risk: The new operating imperative
Regulatory momentum is shaping strategy, with 70% anticipating transformational/significant impact. Meanwhile, shadow AI emerges: 25% say public tools are in use with minimal oversight. Reported policy violations (36%) and security driven adoption delays (20%) underscore why access controls, role-based permissions, data privacy, leakage prevention, and regulatory compliance are central to safe AI scaleup.
Knowledge work maturity: The performance multiplier
Maturity influences everything—from how teams adopt tools to how organizations perform. The research traces strong correlations between maturity, tech adoption at both organization and end user levels, and business outcomes including market position and revenue trajectories. It also maps the underpinning technologies by maturity tier, giving leaders a pragmatic guide to advance maturity alongside AI adoption.