{"id":959,"date":"2025-11-03T15:56:03","date_gmt":"2025-11-03T15:56:03","guid":{"rendered":"https:\/\/www.cowanconsulting.com\/WP\/?p=959"},"modified":"2025-11-03T16:41:45","modified_gmt":"2025-11-03T16:41:45","slug":"ai-powered-litigation-support-by-moses-cowan","status":"publish","type":"post","link":"https:\/\/www.cowanconsulting.com\/WP\/ai-powered-litigation-support-by-moses-cowan\/","title":{"rendered":"The Emerging Power of AI-Powered Litigation Support Solutions By Moses Cowan"},"content":{"rendered":"\n

When I look back over my career\u2014first as a lawyer, then as a professor, engineer, and entrepreneur\u2014I often compare the legal technology landscape to a construction site I once managed in tough Brooklyn. At first you clear the rubble. Then you build strong foundations. And finally, you raise structures that stand for decades. Today, I\u2019m writing about how artificial intelligence is raising a new structure in litigation support<\/a>, a framework companies must grasp if they want to stay ahead.<\/p>\n\n\n\n

A new frontier in litigation: AI-powered litigation support solutions<\/h3>\n\n\n\n

The phrase \u201clitigation support\u201d is no longer about just e-discovery and document review. With generative AI<\/a>, advanced analytics, and cloud\u00ad\u00adnative systems, firms are deploying litigation support solutions that anticipate, automate, and augment key legal workflows. According to PwC, 49 % of technology leaders say AI is now \u201cfully integrated\u201d into business strategy. (PwC<\/a>) That means litigation teams who still rely on manual review risk being left behind.<\/p>\n\n\n\n

Why this matters in the business engineering of law firms<\/h3>\n\n\n\n

In the consulting world of my firm, Cowan Consulting<\/a>, LC, which bridges business engineering<\/a> and litigation support, I\u2019ve observed that AI-powered tools are shifting value from time-spent to intelligence-deployed. When you treat litigation support like a business-engineering problem rather than a legal-admin one, you begin re-imagining workflows: predictive case outcomes, automated contract analytics, dynamic mapping of witnesses and issues. It\u2019s not just faster\u2014it\u2019s smarter. For example, using \u201cagentic\u201d AI systems\u2014the kind that act on behalf of users\u2014was cited by Gartner as one of their top strategic tech trends for 2025. (Gartner<\/a>)<\/p>\n\n\n\n

The data point you must know<\/h3>\n\n\n\n

Let\u2019s anchor this in a concrete figure. The global IT services market is projected to grow to $1.42 trillion by end of 2024, with a CAGR of about 5.76 %. (Atlantic | Tomorrow’s Office<\/a>) Meanwhile, spend on AI-driven solutions is accelerating across industries. These macro trends show that supporting systems in litigation are no longer a niche\u2014they\u2019re part of the enterprise growth engine. I recall in Brooklyn we used to say: \u201cIf you don\u2019t build for the bedrock, you\u2019ll watch your structure tilt.\u201d Today the \u201cbedrock\u201d is AI-enabled litigation architecture.<\/p>\n\n\n\n

Real-world example: data meets counsel<\/h3>\n\n\n\n

Imagine a mid-size law firm that faces hundreds of contracts in an e-discovery matter. Traditional review might cost thousands of hours and tens of thousands of dollars. But by implementing an AI-powered litigation support<\/a> platform, they run semantic analytics, flag high-risk clauses, map counter-party networks, and produce visualizations of witness-document networks in hours instead of days. The result: applying business engineering discipline to legal operations, the firm becomes a player in the e-business ecosystem\u2014not just a cost center.<\/p>\n\n\n\n

What you must do to modernize litigation support in your firm<\/h3>\n\n\n\n