Legal tech shifts from AI hype to trusted adoption

By mid-2026, the legal tech community, exemplified by ILTACON's creation of Team 8, has shifted its focus from merely deploying AI tools to prioritizing structured change management and user adoption as essential drivers of successful AI integration. Harriet Joubert-Vaklyes emphasized the necessity of engaging end users early by defining problems before selecting tools, while live polling revealed that peer champions significantly outperform top-down mandates or training alone in fostering adoption. This evolution underscores that AI’s true value lies not in the technology itself but in how organizations manage the human and procedural changes it demands.

The strategic approach to AI adoption in legal tech is increasingly grounded in tailoring solutions to specific workflows and practice group needs rather than pursuing a monolithic, firm-wide platform. Sessions like 'Platform Wars' and 'Whose Legal AI Workflow Is It Anyway?' highlighted that litigation and transactional teams require distinct AI tools optimized for their unique processes, cautioning against forcing workflows to conform to a single technology. This nuanced perspective ensures that AI enhances actual legal work rather than imposing rigid structures, thereby improving productivity and user satisfaction.

Integral to effective AI adoption is the governance of data through structured taxonomies and shared definitions, which significantly enhances AI efficiency and consistency. Heath Harris pointed out that well-organized data reduces the contextual burden on large language models, while Ivy Grey identified librarians as pivotal in mapping information relationships. This emphasis on data governance not only streamlines AI performance but also fosters reuse and reliability, reinforcing that successful AI ecosystems depend as much on information architecture as on the tools themselves.

While AI continues to dominate legal tech conversations, the narrative is shifting towards how organizations can harness AI to automate workflows and boost proficiency through deliberate adoption strategies. As one ILTACON participant noted, 'AI is all about automating workflows, increasing productivity and proficiency... I think what's really key is adoption.' This shift reflects a maturation in the field, recognizing that technology deployment alone is insufficient without embedding AI into the fabric of legal practice through thoughtful change management.

By mid-2026, legal tech leaders had decisively shifted focus from debating AI’s raw capabilities to demanding fiduciary-grade trustworthiness characterized by transparent, verifiable outputs. Rawia Ashraf of Thomson Reuters encapsulates this evolution, emphasizing that clients no longer want AI that merely sounds confident but systems grounded in real authority with visible reasoning and checkable sources. This insistence on transparency is echoed in ILTACon briefings, which stress that inconsistent AI results often stem from underlying taxonomy and governance issues, underscoring the critical role of well-structured data frameworks in building lawyer confidence and operational reliability.

Practicality and integration emerged as twin pillars for AI adoption, with leaders like Aisling Fenelon of Aderant highlighting the necessity for connected technologies that seamlessly embed into existing legal workflows. Fenelon notes that innovations designed to operate within a unified ecosystem not only accelerate financial processes but also reduce risk and free lawyers to focus on client service. This workflow-centric approach was reinforced at ILTACon sessions, which cautioned against one-size-fits-all AI platforms, advocating instead for practice group–specific tool evaluations to ensure relevance—recognizing that what works for litigation support may falter in transactional contexts.

Building fiduciary-grade trust also hinges on early and meaningful end-user involvement coupled with precise problem definition before AI deployment. Harriet Joubert-Vaklyes underscores the importance of initiating inquiry well before tool selection, advocating for a culture of transparency and engagement. Supporting this, a live ILTACon poll identified peer champions as the most effective catalysts for adoption, highlighting that trust is not only engineered through technology but cultivated through human networks and clear communication.

By mid-2026, the legal tech industry is decisively pivoting toward integrated ecosystems that seamlessly connect diverse tools and capabilities to combat fragmentation and boost both firm efficiency and client outcomes. Aisling Fenelon, Chief Revenue Officer at Aderant, highlighted this trend at ILTACON, emphasizing that their showcased innovations are designed to operate within a cohesive Aderant ecosystem, reflecting a broader market demand for technology that works in concert rather than in isolation. This shift underscores a strategic move away from siloed solutions toward platforms that enable fluid data exchange and unified workflows.

Complementing the drive for integration is an equally critical push for data standardization and transparency to ensure AI outputs in legal tech are trustworthy and verifiable. Rawia Ashraf, Head of Product at Thomson Reuters, articulated the industry's response to client demands for 'Fiduciary-Grade AI'—solutions that provide not only confident answers but also clear reasoning, accessible sources, and defensible work products. This insistence on standardized, transparent data frameworks is essential to underpin integrated ecosystems, enabling firms to rely on AI insights with confidence and meet rigorous fiduciary standards.

ILTA’s 2026 Global Legal Tech Tour, spanning cities from Sao Paulo to Sydney and culminating at Ilticon in Nashville, exemplifies a strategic push to foster global collaboration and accelerate AI adoption in legal tech. Complementing this tour, ILTA’s innovative Sponsor Marketplace offers a sophisticated digital platform where legal tech members and business partners engage through detailed profiles, privacy controls, and multiple interaction methods such as direct outreach and formal RFIs. This marketplace not only enhances community connectivity but also empowers business partners with self-service management and analytics, creating a sustainable ecosystem that drives ROI and deeper integration of AI within legal operations.

CLOC’s 'AI Intensive' workshop series, spearheaded by Hilton Worldwide’s Alex Gao and Legora’s Mark Allen, addresses the critical gap between AI experimentation and enterprise-scale deployment in legal operations. Launching its inaugural in-person session in October 2026, the program offers hands-on, laptop-based exercises tailored to diverse experience levels, ensuring practical skill-building beyond theoretical knowledge. Designed as a multi-channel initiative, the AI Intensive extends its impact through virtual sessions and an online learning hub featuring governance templates and benchmarking reports, embedding itself within CLOC’s annual Global Institute and Academy to support sustainable, scalable AI adoption aligned with leadership priorities.