Crimson has launched its Litigation AI Playbook 2026, showcasing how artificial intelligence is revolutionizing the lifecycle of disputes. The playbook delves into AI’s influence on early case assessment, advocacy, pricing, professional conduct, and judicial expectations. Over the past year, Crimson’s CEO, Mark Feldner, engaged with over 200 litigation partners, innovation managers, and knowledge lawyers to understand effective AI use in practice.
AI’s Evolving Role in Disputes
The playbook emphasizes that AI in disputes has progressed beyond isolated productivity tools. Initially focused on tasks like summarization or draft text creation, AI now operates at a matter-wide level, aiding lawyers in organizing evidence, arguments, and strategy across an entire case file. This evolution impacts training, costs, and advocacy.
Early Case Assessment and Client Clarity
AI’s role in early case assessment is a standout use case in contentious work. AI now helps structure and analyze vast amounts of material at a dispute’s outset, enabling lawyers to concentrate on judgment, strategy, and advocacy instead of manual collation and review. This has practical implications for cost and scope management, allowing litigation teams to offer clients a more grounded view of prospects, timelines, and likely costs earlier, facilitating clearer discussions about settlement options and risks before proceedings escalate.
Managing Correspondence at Scale
AI is becoming integral to managing industrial-scale correspondence in disputes. Litigation teams routinely handle communications with clients, opposing counsel, courts, and internal teams across jurisdictions. AI tools optimize search and retrieval, summarize correspondence in context, and maintain factual control, saving time on administrative tasks and enhancing factual accuracy in communications.
Expert Evidence and Technical Material
In complex litigation and arbitration, AI supports both lawyers and experts in preparing, digesting, and explaining intricate case files. AI reduces friction in preparation, document review, and reference checking, allowing more time for expert reasoning and explanation. This leads to clearer technical insights, faster turnaround times, and lower costs.
Advocacy, Hearings, and Persuasion
AI’s role extends to hearings, trials, and submissions. It helps organize transcripts, evidence, and submissions, enabling advocates to locate and analyze material in real time. This enhances decision-making by providing greater clarity and organization, supporting disciplined preparation and improved judgment under pressure.
Pricing, Fees, and Client Expectations
Despite productivity gains, the report notes no major shift from the billable hour model. AI reshapes costs rather than fee models, reducing time spent on document-heavy and non-billable work while core legal analysis remains billed hourly. Transparency pressure is growing; clients expect clear explanations of AI’s use, benefits, and confidentiality safeguards.
Trust, Governance, and Professional Duties
Client trust and professional conduct are crucial. AI use in disputes is acceptable when aligned with existing duties around confidentiality, privilege, and accountability. The report addresses client concerns about AI-related risks, charging, disclosure requirements, and error management, emphasizing that lawyers remain responsible for outputs and advice.
Talent, Training, and Recruitment
AI’s growing role in recruitment and training highlights law firms’ use of AI capabilities as part of their employer proposition. Modern tools are seen as essential by junior lawyers, who expect streamlined workflows and reduced workloads. The playbook stresses the need to rethink training pathways to accelerate judgment formation while maintaining critical thinking skills.
Judicial and Arbitral Perspectives
Judicial attitudes towards AI focus on the accuracy of authorities presented in court. Judges emphasize the need to verify sources and threaten sanctions for non-compliance. In arbitration, there is growing “soft law” guidance on human responsibility, transparency, and AI-assisted evidence assessment.
From Experimentation to Discipline
The playbook concludes that leading disputes teams have moved beyond questioning AI use. The focus is now on disciplined implementation, delivering practical benefits like earlier clarity, consistent execution, and more time for judgment and advocacy.
Note: This article is inspired by content from . It has been rephrased for originality. Images are credited to the original source.