|
Getting your Trinity Audio player ready...
|
Nearly every legal department now has access to generative AI. That alone would have seemed remarkable only a few years ago, when concerns centered on whether lawyers would embrace the technology at all. Today, the conversation has shifted. Access is no longer the defining challenge. Confidence is.
Factor’s 2026 GenAI in Legal Benchmarking Report highlights a significant gap between deployment and day-to-day adoption. While 82.7% of legal teams report broad access to generative AI, only 22.1% say they have a high level of trust in the outputs. More strikingly, teams with greater confidence in AI are more than three times as likely to report positive returns on investment than those with lower trust levels.
The findings suggest that legal AI has entered a new stage of maturity. Organizations are no longer competing to introduce AI into their operations. They are competing to build the governance, training and workflows that allow professionals to use it with confidence.
Widespread access has not translated into widespread confidence
The rapid adoption of generative AI across legal departments reflects the pace at which the technology has matured. Enterprise platforms now offer AI capabilities within document management systems, contract lifecycle management software and legal research tools. For many organizations, introducing AI has become a relatively straightforward technology decision.
Using it consistently is another matter.
The benchmark identifies trust as the single largest barrier to adoption, cited by 22.8% of respondents, followed closely by insufficient training or confidence at 21.7%. Those figures point to a challenge that technology alone cannot solve.
Legal professionals work in an environment where precision is expected and errors can carry significant commercial or regulatory consequences. Unlike many business functions, legal teams cannot afford to accept outputs without verification. Even occasional inaccuracies or fabricated citations can undermine confidence, making lawyers reluctant to rely on AI for substantive work.
This caution reflects the profession’s responsibilities rather than resistance to innovation. AI may accelerate drafting, summarize lengthy documents or support legal research, but accountability remains with the practitioner. Trust therefore depends not only on the quality of the technology but also on the ability to understand its limitations and verify its outputs.
Recent research from McKinsey reinforces this broader trend across industries, finding that organizations delivering the greatest value from AI typically combine technical capability with clear governance, transparency and workforce readiness. As AI becomes embedded in everyday operations, these organizational factors increasingly determine whether adoption translates into measurable business outcomes.
Trust is becoming the competitive advantage
The relationship between trust and return on investment is perhaps the report’s most significant finding. Organizations reporting higher confidence in AI are substantially more likely to realize measurable value from their investments.
That should not be surprising.
When professionals trust a system, they incorporate it into routine workflows rather than treating it as an occasional experiment. Repeated use creates familiarity, encourages refinement and reveals where AI genuinely improves productivity. Low-trust environments often produce the opposite effect, with AI reserved for low-risk tasks while employees revert to traditional methods for more complex work.
Building that confidence requires more than selecting the right software platform. Training plays a central role. Lawyers need practical guidance on prompt design, validation techniques, appropriate use cases and escalation procedures when AI outputs require further scrutiny. Organizations also need governance frameworks that define acceptable use, establish review processes and clarify accountability.
The legal sector is increasingly recognizing that AI should complement professional judgment rather than replace it. Human oversight remains essential, particularly where advice, negotiation or regulatory interpretation is involved. Well-designed workflows acknowledge these realities by integrating AI into existing review processes instead of positioning it as a substitute for legal expertise.
Industry observers have reached similar conclusions. As legal AI becomes more sophisticated, competitive advantage is shifting away from access to technology and toward operational discipline. Firms that establish consistent governance, invest in user education and monitor AI performance are more likely to achieve sustainable improvements than those focused solely on expanding access.
The broader lesson extends beyond legal services. Across industries, organizations are discovering that successful AI implementation depends as much on organizational readiness as technical capability. Governance, transparency and workforce confidence increasingly determine whether AI delivers lasting business value.
Legal departments now find themselves at that same point. The first phase of AI adoption centered on introducing new tools. The next phase will be defined by how effectively those tools are integrated into professional practice.
The organizations that move ahead are unlikely to be those with the largest number of AI applications. They will be those that establish clear standards, invest in their people and create environments where professionals understand both the opportunities and the limitations of artificial intelligence. In legal services, trust is no longer a secondary consideration. It is becoming the foundation on which successful AI adoption will be built.
Source
