CaseCraft.AI CEO Details Legal Automation Strategy

Mikhail Yatsuha, the chief executive officer and co-founder of CaseCraft.AI, has spent more than a decade working within the UK legal services sector. After progressing from an intern and trainee solicitor to a partner at Sterling Law, he frequently encountered viable lower-value disputes that became financially unfeasible to pursue once traditional legal fees were accounted for. To address this structural issue, he co-founded CaseCraft.AI at the end of 2023 with the goal of redesigning how civil claims are assessed and managed through artificial intelligence rather than merely accelerating document drafting.

Operating as a UK legal technology company, CaseCraft.AI builds an AI-native platform designed specifically for civil litigation. The infrastructure handles case assessment, evidence processing, pre-action correspondence, document generation, procedural tracking, and human legal review within a unified workflow. The business model serves individual claimants on a no-win-no-fee basis alongside enterprise clients through subscription tools for bulk claims and case management. By August 2026, the company had raised approximately £1.8 million across three funding rounds and recorded 4,562 matters created with a cumulative value of £14.9 million. Out of these, 51 percent have settled or been won on default judgment, with 373 matters remaining in active legal work, while the firm also tests an employment law minimum viable product.

The core motivation behind the platform stems from the economic barrier facing small-scale disputes, where the cost of representation often approaches or exceeds the amount at stake. Because legal costs are generally unrecoverable in small claims, many legitimate grievances are abandoned, and businesses frequently write off unpaid invoices. Yatsuha identified this as a delivery model problem rather than a drafting deficiency. By shifting the focus to agentic workflows, the technology attempts to support the individual bringing the claim rather than simply making the handling lawyer marginally faster.

Building agentic workflows differs significantly from deploying standard AI chatbots or assistants. While a chatbot generates conversational responses, an agentic system must maintain the state of a real-world matter over months, tracking incoming evidence, payments, deadlines, and procedural responses. CaseCraft.AI employs specialised modular components where some modules collect and validate information while others ground legal reasoning. As of August 2026, the system has progressed over 400 matters into active legal work and formally issued 130 claims at court.

To ensure reliability in a high-stakes legal environment, the platform restricts the underlying model from inventing facts, constraining generation to verified evidence and authoritative sources through government APIs. Furthermore, the architecture maintains a strict separation between data extraction and analytical inference. If a user uploads a communication thread, dates and quotes are treated as extracted facts, while legal significance remains a separate inference to prevent the generation of plausible yet procedurally incorrect assertions. Measurable human oversight is integrated to track review triggers, and human review times have reportedly decreased fourfold as the software has matured.

Looking forward, the company intends to expand beyond basic small claims into new domains such as employment law and personal injury litigation. Yatsuha believes that vertical artificial intelligence companies secure a durable advantage not by owning foundational models, but by mastering the surrounding orchestration, document databases, legal knowledge integration, and workflow controls. As the technology evolves, the central challenge remains defining the exact boundaries where automated systems must pause and hand over responsibility to licensed human professionals.