Clarivate has earned industry recognition for its expanding portfolio of legal artificial intelligence solutions after its trademark risk assessment platform, RiskMark, won the 2026 CODiE Award for Best AI Tool for Lawyers. The award highlights growing adoption of AI-driven legal technologies that help intellectual property professionals evaluate trademark conflicts, analyze legal precedent, and streamline complex research workflows with greater speed and consistency.
Artificial intelligence continues to reshape legal technology, with increasing emphasis on tools that augment legal research and decision-making rather than simply automate document generation.
Clarivate announced that its AI-powered trademark analysis platform, RiskMark, has received the 2026 CODiE Award for Best AI Tool for Lawyers, recognizing solutions that improve the efficiency, accuracy, and capabilities of legal professionals through advanced artificial intelligence.
The recognition comes as law firms, corporate legal departments, and intellectual property (IP) teams increasingly adopt AI platforms to manage growing volumes of legal data, regulatory complexity, and trademark filings across multiple jurisdictions.
Introduced in 2025, RiskMark focuses on one of the most resource-intensive aspects of trademark law: assessing the likelihood of confusion between trademarks—a legal standard used worldwide to determine whether a proposed trademark may conflict with an existing registration.
Combining predictive and generative AI
Unlike traditional trademark search tools that primarily retrieve similar records, RiskMark integrates predictive AI and generative AI within a unified workflow.
The platform evaluates trademarks across multiple dimensions, including visual appearance, phonetic similarity, semantic meaning, and the classification of goods and services. It then identifies potential conflicts based on legal precedent while generating evidence-based draft legal arguments that attorneys can refine during trademark prosecution or dispute resolution.
By combining analytical prediction with AI-assisted drafting, the platform aims to reduce manual research that often takes several hours into workflows completed within minutes.
This reflects a broader trend in enterprise legal AI, where organizations increasingly seek technologies that support legal reasoning while maintaining attorney oversight rather than replacing professional judgment.
AI trained on large-scale legal datasets
A defining feature of enterprise legal AI is the quality and breadth of the underlying legal data.
According to Clarivate, RiskMark draws insights from 172.5 million trademark records spanning 188 jurisdictions, alongside more than five million court and administrative decisions. This allows the platform to evaluate trademark conflicts using both historical registration data and legal precedent.
Its predictive AI surfaces trademark conflicts supported by prior decisions, while the generative AI component produces principle-based draft arguments intended to assist attorneys in preparing filings, responding to office actions, or anticipating potential opposition claims.
For intellectual property practitioners operating across multiple jurisdictions, the combination of structured legal data and AI-assisted analysis can help accelerate trademark clearance while improving consistency in legal assessments.
Legal AI moves into specialized workflows
The award reflects the growing maturity of AI applications designed specifically for professional legal practice.
While early generative AI deployments focused largely on drafting emails or summarizing documents, enterprise legal platforms are increasingly targeting specialized workflows such as intellectual property management, contract review, regulatory compliance, litigation support, and legal research.
Technology providers including Microsoft, Google Cloud, Thomson Reuters, LexisNexis, and Harvey have expanded investments in AI-powered legal platforms, integrating large language models (LLMs), retrieval-augmented generation (RAG), and domain-specific knowledge bases to improve legal productivity.
RiskMark’s emphasis on trademark law illustrates a broader industry shift toward highly specialized AI systems trained on proprietary legal datasets rather than general-purpose language models alone.
Balancing AI automation with legal expertise
Clarivate says RiskMark was designed to combine trusted legal data, AI models, and professional expertise into a single decision-support platform rather than fully automate legal judgment.
That approach aligns with growing regulatory and industry expectations that AI systems used in legal practice remain explainable, evidence-based, and subject to human review.
The platform’s citation-driven outputs allow attorneys to verify AI-generated recommendations against supporting trademark records and judicial decisions—an increasingly important capability as organizations seek to deploy generative AI responsibly within regulated professional environments.
RiskMark’s latest recognition follows its earlier success in the 2025 LegalTech Breakthrough Awards, where it was named LegalTech Predictive AI Solution of the Year, reinforcing Clarivate’s strategy of developing AI solutions for legal and intellectual property professionals.
According to Gartner, generative AI will increasingly become embedded across enterprise software, including legal technology, as organizations prioritize productivity and knowledge-intensive workflows. Meanwhile, McKinsey & Company estimates that legal services are among the professions with the highest potential for AI-assisted productivity gains due to the volume of document analysis, research, and knowledge work involved.
As intellectual property portfolios continue expanding globally, AI-powered trademark intelligence platforms such as RiskMark are becoming an increasingly important part of legal technology infrastructure, helping professionals analyze risk, navigate regulatory complexity, and make faster, evidence-based decisions.
Market Landscape
Legal AI is evolving from experimental generative AI assistants into specialized platforms that support high-value legal workflows, including trademark analysis, contract lifecycle management, litigation research, and regulatory compliance. Enterprise legal departments and law firms are increasingly adopting AI systems that combine large language models with proprietary legal datasets, retrieval-augmented generation, and explainable AI capabilities. As regulatory scrutiny around AI grows, platforms offering transparent, evidence-backed recommendations and human oversight are expected to become central to enterprise legal technology strategies.
Top Insights
- Clarivate’s RiskMark has won the 2026 CODiE Award for Best AI Tool for Lawyers, recognizing advances in AI-powered trademark risk assessment and legal decision support.
- The platform combines predictive AI with generative AI to evaluate trademark conflicts, identify legal risks, and generate evidence-based draft legal arguments.
- Built on more than 172 million trademark records and five million legal decisions, RiskMark enables attorneys to analyze trademark similarity across global jurisdictions.
- Specialized legal AI platforms are increasingly replacing manual legal research by integrating domain-specific datasets, explainable AI, and workflow automation.
- Growing enterprise investment in AI-powered legal technology reflects broader adoption of intelligent systems that enhance legal productivity while preserving attorney oversight.
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