The legal tech landscape is on the brink of a transformative year as 2026 approaches. Insights from various leaders in the vendor community reveal a consensus that this year will witness significant advancements in generative AI, posing both opportunities and challenges for the legal sector. As AI becomes more integrated into legal workflows, business models, skills, and ownership structures will undergo substantial shifts.
AI in Legal Workflows
Samuel Smolkin, founder and CEO of Office & Dragons, now part of Litera, emphasizes the transition from custom AI models to AI-embedded workflows. The competition to become the central platform in the legal industry intensifies, particularly in document management. Kerri Dearing, VP at NetDocuments, predicts that AI will embed itself within daily legal workflows, transforming document management systems into comprehensive legal operating systems.
The Evolution of Document Management Systems
The role of document management systems (DMS) is evolving, as Marcel Lang of Epona highlights the necessity for law firms to adapt to a native Microsoft environment. AI is expected to revolutionize legal document and knowledge management, turning static archives into intelligent ecosystems. Law firms resistant to this change risk falling behind.
Open Innovation and Model Context Protocol
The legal industry is shifting towards open innovation-led AI systems, as noted by Sam Grange of iManage. The introduction of Model Context Protocol (MCP) marks a move towards open integration, enabling secure interoperability among AI tools and data, similar to Apple’s shift from a closed to an open integration approach.
Trust, Explainability, and Speed
Trust and explainability in AI are crucial themes for 2026. Errol Rodericks of Denodo emphasizes the importance of governance and confidence in data. Similarly, Ajay Agrawal of Sirion highlights the shift from powerful AI models to accountable and explainable systems.
BYOLLM and BYOC Trends
Sid Jiwnani of Knovos points to the rise of BYOLLM (Bring Your Own Large Language Model) and BYOC (Bring Your Own Cloud) as firms seek greater control over data and AI tools. These trends reflect a desire for customized AI solutions integrated with mainstream legal technology.
The Rise of Legal AI Experts
The demand for AI experts in law is increasing, with firms placing emphasis on mentoring and training. Ajay Agrawal predicts that legal AI experts will become indispensable, serving as a bridge between law and technology.
ROI and the Reality Check
As AI spending comes under scrutiny, Jarrod Vawdrey of Domino Data Lab warns of a reality check where only AI projects with tangible business impacts will survive. The focus is shifting from experimentation to measurable outcomes.
Business Model Transformation
While the billable hour remains entrenched, Briana McCrory from BigHand anticipates a shift towards improving profitability through AI-driven efficiencies. In-house legal teams are expected to retain more work, challenging traditional law firm models.
Regulation and Private Equity
Regulatory expectations are tightening, as noted by Philip Dutton of Solidatus. The legal sector is also witnessing increased private equity interest, with creative corporate structures allowing investment in law firms despite regulatory restrictions.
Education and Knowledge Management
AI literacy is becoming essential, prompting law schools to integrate AI competencies into curricula. Knowledge management teams are evolving to support AI, as noted by Jean-Rémi de Maistre of Jus Mundi and Carlos Garcia-Egocheaga of LexSoft Systems.
Overall, 2026 promises to be a year of profound change in the legal tech industry, driven by AI advancements and a shift towards open, integrated systems. The challenge lies in strategic and sustainable adaptation to these changes.
Note: This article is inspired by content from https://legaltechnology.com/2026/01/15/the-vendor-view-2026-a-breakthrough-ai-year-and-one-of-reckoning/. It has been rephrased for originality. Images are credited to the original source.