LOS ANGELES, CA (April 27, 2026) Hamid Kohan, CEO and Founder of Law Practice AI, has published a new thought leadership piece in Unite AI examining one of the most overlooked problems in legal technology today: the operational risks created when law firms adopt AI tools in isolation rather than as part of a connected workflow.
The article, titled "The Operational Risks Created by Fragmented AI Tool Usage Inside Law Firms," draws on industry data and Kohan's direct experience building AI platforms for plaintiff law firms to make a case that the way AI is being implemented, not just whether it is being used, is what determines whether firms actually benefit.
The piece opens with a structural observation that shapes the entire argument. Most firms are not approaching AI as a unified system. They are adopting one tool at a time, with each tool solving a specific task but no one stepping back to look at how everything connects. The result is a fragmented infrastructure that creates new operational problems instead of solving existing ones.
Kohan cites the American Bar Association 2025 Legal Industry Report to frame the scale of the problem. Only 21% of law firms report using generative AI at the firm level, while 31% of individual professionals are already using it on their own. The gap between individual adoption and institutional adoption points to a structural issue, not a demand issue.
The article identifies several downstream consequences of fragmentation. When systems are not connected, different versions of the same case begin to exist across platforms. Summaries may be updated in one system but not reflected in another. Notes may be added in one place but not synchronized elsewhere. Over time, these inconsistencies erode the operational reliability that legal work depends on.
On the financial side, Kohan references the 2025 Generative AI Professional Services Report, which found that more than half of organizations are not measuring the ROI of their AI tools. Firms may be paying for multiple platforms with overlapping functionality, investing time in training and management, and absorbing the inefficiencies created by disconnected workflows, without a clear picture of whether the investment is working.
The compliance dimension is equally significant. Each AI tool comes with its own data policies, storage practices, and security standards. When firms rely on multiple vendors, they introduce multiple points of exposure. In a profession built on confidentiality, Kohan argues, that risk cannot be treated as a secondary concern.
Kohan closes with a forward-looking assessment. The firms that benefit most from AI will not be the ones using the most tools. They will be the ones using AI as part of a connected operational system that spans the full lifecycle of a case, with consistent workflows and a clear source of truth at every stage.
The full article is available on Unite AI.
