At CaseMine, we are introducing a new way for litigators to work with their matters: a multi-document AI workspace inside AMICUS AI’s chat, designed specifically for disputes. You can now upload entire case bundles—pleadings, written submissions, evidence, prior orders, judgments—and simply tell AMICUS AI what you want done. Behind that simple interaction sit years of AI work with our proprietary CaseIQ engine and our exhaustive case law databases for India, the USA and the UK, all working together to turn scattered litigation documents into clear, strategic insight.

Our vision from day one has been to put AI at the heart of legal research, especially for litigators who live inside case files and authorities. With CaseIQ, we spent years teaching systems to understand judgments, extract ratio, detect patterns and surface the most relevant authorities. When OpenAI launched GPT in 2022, we were among the first to bring that paradigm into law, launching AMICUS AI in June 2023 as a GPT-powered legal assistant.

In just over two years, AMICUS AI has answered more than a million questions for thousands of lawyers across India, the USA and the UK. It has grown from a research engine into a versatile companion—helping draft written submissions, summarise bulky orders, refine oral arguments and compare how different courts have treated similar issues.

But litigation does not unfold as isolated questions. It unfolds as matters, with pleadings, affidavits, evidence, orders and judgments that evolve over time. Our users wanted AMICUS AI to see what they see: full case files, side by side, in one place. The new multi-document capability is our answer to that request.

The new feature lives directly inside the AMICUS AI chat interface. You begin a conversation, upload the relevant litigation documents—say, a plaint, written statement, replication, affidavits, prior orders and key judgments—and then describe your task in plain language. You might ask AMICUS AI to map out issues framed in the suit and show which pleadings or evidence go to each issue, prepare a crisp chronology from a stack of orders and filings, distil complex orders into a client-ready note highlighting risks and next steps, or use the notice and supporting material you upload to draft a detailed reply to that notice in the tone and posture you specify.

Once the documents are uploaded, AMICUS AI treats them as part of a live litigation workspace. You can ask follow-up questions, switch focus from maintainability to limitation, or request alternative drafts of a reply or written submissions without reloading your files. The system remembers the context of the conversation and the case bundle, much like a well-briefed junior who stays with the matter from filing to final hearing.

Most tools today let you “chat” with a single PDF: a judgment, a contract, an order. That is useful, but litigation rarely fits inside a single file, and documents in litigation never live in isolation. They should live inside a wider body of knowledge—precedents, procedures, legislation, notifications and evolving judicial trends.

AMICUS AI’s multi-document workspace is built on that idea. Your documents become points in a much larger network of legal knowledge. When you upload a notice and ask AMICUS AI to draft a reply, it doesn’t just restate what the notice says. It reads the allegations, identifies the legal themes, looks up relevant case law and principles from CaseMine’s databases, checks how similar issues have been addressed before, and then proposes a structured reply that fits your jurisdiction and your strategy. If you upload a set of petitions and counter-affidavits, AMICUS AI can trace how the narrative shifts between parties and then align that narrative with supporting or contrary authority.

Because your matter is connected to both the CaseMine repository and, where needed, carefully chosen material from the wider internet, AMICUS AI can move from “What does this document say?” to “Where does this document sit in the larger legal landscape?” It can compare the grounds in your writ petition to how courts have treated similar grounds, suggest reliefs or prayers that are commonly sought in such cases, or help you prepare written submissions that anticipate likely lines of judicial questioning based on prior judgments.

So this goes far beyond a simple “chat with your document” feature. It is closer to “litigate with your documents, backed by the world of law behind them.” Multiple inputs—pleadings, orders, judgments, notices—come together into one coherent output: a sharper submission, a stronger reply, a clearer strategy note or a fuller picture of where your case stands in relation to the law as courts are actually applying it.

To make this genuinely useful for litigation, we had to do more than plug a PDF into a large language model. At a high level, AMICUS AI breaks your files into meaningful parts—issues, grounds, prayers, factual allegations, operative portions of orders and cited authorities—and builds an internal picture of what the dispute is really about.

It then quietly brings in what it already “knows”: judgments, principles and trends from CaseMine’s databases across India, the USA and the UK, and, where appropriate, recent material from the open web such as notifications or regulations. All of this is filtered through your instructions—jurisdiction, forum, tone, risk posture—so the system stays aligned with the way you want to run the matter.

The result is not a technical demo of how AI works, but something much closer to what litigators need: quick, context-aware help that feels like it understands both your case file and the law around it, without you having to think about the machinery underneath.

Our evolution—from CaseIQ to AMICUS AI, from research engine to GPT-powered assistant, and now to a multi-document litigation workspace, has always been guided by a simple principle: AI should make lawyers better at law, not busier managing tools.

This new capability is a significant step in that direction. It is the point where your case bundle, your ongoing conversation with AMICUS AI and CaseMine’s entire proprietary repository, enriched where appropriate by the wider internet, come together in a single, fluid experience. You no longer have to choose between “search the database” and “ask the AI about this file”; you can do both at once, within the natural flow of how you already run your matters.

We are excited to see how you use it: to refine grounds before filing, stress-test replies and submissions before they go out, harmonise strategy across multiple connected matters, or simply make sense of a complex litigation file in minutes instead of hours.

You bring the dispute. You bring the case bundle. We will bring AMICUS AI—and the full power of CaseMine behind it.

This is a sponsored post from CaseMine.