Copious launched Litigated.com, an AI legal intelligence platform, on 6th July 2026, expanding technology originally developed for housing disrepair cases into broader litigation workflows. The platform is already in commercial use by law firms and claims management companies, targeting document review and evidence handling tasks that can consume hours of fee-earner time.
How the platform works
At its core is IntelOptic, a computer vision engine that extracts structured evidence from image-based PDFs. This is paired with a legal intelligence layer built from more than 14,500 indexed legal datasets. The system can pull disclosure and data subject access request material from scanned documents, build chronologies from large evidence bundles, assess the viability of financial claims using indexed Financial Ombudsman Service decisions, and extract information from identity documents and vehicle ownership records.
Copious said a disclosure review or DSAR extraction task that might take roughly six hours manually can be completed in minutes through automated extraction. For legal teams handling high volumes of standardised documents, tools like Litigated.com reflect a growing trend covered in AI for Legal resources. These tasks, often handled by paralegals and support staff, align with skills covered in the AI Learning Path for Paralegals.
Data control and professional oversight
The platform runs on infrastructure Copious operates directly, rather than relying on third-party cloud AI providers. This aims to give law firms greater control over sensitive client data while introducing automation into internal workflows. Copious stressed that the platform is not a law firm and that all outputs require independent review by qualified legal professionals before use in live matters-a position consistent with wider legal technology market cautions that AI tools assist lawyers but do not replace professional judgment.
Origins in housing disrepair research
Litigated.com emerged from work with the University of Salford. The original research focused on housing disrepair, where delays in identifying defects and organising evidence can block tenants from pursuing claims. That background gives the product an unusual entry point: it moved from image analysis and evidence extraction into legal document review, rather than starting with general-purpose language models and adapting them for professional use.
Samantha Holloway, Director at Copious, described the operational pressures the platform addresses:
"The legal sector still faces major operational challenges around document review, evidence handling and administrative workload. These tasks are intensely time-consuming, and because so much depends on getting the detail right, they cannot be rushed or handled carelessly. Litigated.com was built to help reduce those pressures, using AI designed specifically for real-world legal workflows.
"What makes this platform different is that it combines advanced extraction technology with legal intelligence. It does not simply identify information; it helps legal professionals organise and contextualise complex datasets at significant scale.
"We have already seen the technology being used commercially across a wide range of legal scenarios, including disclosure review, litigation support and financial claims. The results so far have been impressive, and we believe this is only the beginning of what legal AI can achieve within regulated legal services."
Why this matters for legal professionals
Litigated.com cuts directly into two persistent cost centres for law firms: the hours spent on disclosure review and the manual handling of evidence in scanned PDFs. Its ability to extract structured data from image-heavy files-without outsourcing to third-party cloud AI-addresses both efficiency and data sovereignty concerns. But the platform's outputs always need a qualified eye. For solicitors, paralegals and claims handlers, the practical takeaway is that tools like this can slash the administrative burden, freeing up time for tasks that demand legal judgment, while still requiring that judgment to validate every step.
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