8rney introduces Agentic Legal AI Workspace for lawyers, law firms and law students

Agentic Legal AI platform 8rney is built with a focus on bringing research, drafting, document work and matter management into one place.

The company is co-founded by Aryaman Singh, an alumnus of RGNUL, Patiala, and Abhimanyu Dhull, a second-time founder who has previously founded Estavel AI (now BlackcoatAI), a Legal AI venture.

8rney enters the market with a simple product idea and belief that next phase of legal AI is shaped by agents that can be trusted with real work. The company's longer-term vision is for every lawyer to work alongside their own team of agents. These agents would prepare the morning brief and cause list before court, keep track of matters and deadlines across a team, prioritise and draft what comes out of the day's hearings, and turn changes agreed in a meeting into a revised draft.

For a law firm, the result is an AI-native practice running alongside its lawyers. Every lawyer has agents producing finished work, and lawyers spend their time on judgement, strategy and final review. 8rney places approval controls around any action that may send, file or overwrite work. An agent can prepare the work, but consequential steps wait for the lawyer's sign-off, and the final output stays in the lawyer's hands.

For practising lawyers, this means that legal research is not treated as a separate activity from the work that follows it. The research agent searches updated and live legal sources, identifies landmark and latest judgment and authorities, and produces cited answers. Every citation is checked against the source judgment, and the platform shows its research process, so the lawyer can see what has been verified and how. Nothing unverified is presented as settled authority. Research can then move into drafting, review or document work, within the platform, without requiring the user to start again in another system.

The agents come with the capabilities of drafting, redlining, document comparison, structured extraction and the ability to build internal knowledge/playbook from earlier work. 8rney can be used through its web workspace and Microsoft Word add in. Its desktop product, 8rney Desk, is designed for work where documents need to remain on the user’s own machine.

8rney also provides for law students and law schools. The platform’s Academic Mode changes it into a legal study workspace with tools for legal writing, outlines, exam planning and research. Its Moot Workspace is built around the different stages of a moot competition, including issue framing, authority mapping, memorial drafting and oral argument practice. The company’s approach is that AI should support the process of learning law rather than become a shortcut around it.

This wider design is also how 8rney seeks to position itself in an increasingly busy legal AI market. Many products in the sector are built around a particular task, such as research, summarisation, drafting or document review. 8rney is taking a broader approach by connecting those tasks to the underlying matter and to the people, documents, deadlines and decisions around it. The aim is not only to produce a faster answer, but to preserve context as legal work moves from one stage to another.

The platform is being built for individual lawyers, law firms, legal departments, chambers, law schools and students, with separate personal and organisation workspaces. It has already begun working with legal education institutions and law firms. Most recent is Sharda University that announced a partnership with 8rney to provide its School of Law with access to legal research tools, publication support and a dedicated Moot Court Workspace.

For 8rney, the larger opportunity lies in becoming part of the way legal work is organised rather than remaining another tool that lawyers open for a single question. Its launch reflects a shift in legal AI from standalone assistance towards systems that can retain context, work across documents and research, and remain connected to the matter from the first instruction to the final review.

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