Jaipur entrepreneur Aman Sharma has built Xegality, an AI platform that brings legal research, document drafting and case management into one workspace. Designed for lawyers and law firms, the startup is seeking a place in the legal AI market alongside platforms such as Harvey and Legora, with particular attention to the needs of Indian legal practice.
Sharma’s background includes software development and technology services through Coadal Technology. With Xegality, he has turned that experience towards building a product for a specific profession. Developing such a platform involves understanding how lawyers organise their work, where information gets separated and what happens between receiving a client’s documents and preparing a usable draft. Bringing those stages together is a substantial part of the task.
A lawyer preparing a matter may need case files, previous judgments, client details and several versions of the same document. When that information sits in different places, finding the right material becomes another job. Xegality addresses this practical problem by giving related activities a common workspace, keeping research and documents connected to the matter they concern.
According to the company’s website, users can examine the sources behind research results, prepare drafts using case information and continue editing those documents within the platform. Matters, clients and billing can also be managed there. The product therefore covers both the preparation of legal work and the administrative tasks needed to keep a practice running. The emphasis is on keeping the lawyer’s working context available, so research, drafting and administration can refer to the same matter throughout its progress.
This range of functions explains the comparison with Harvey and Legora. Both provide AI tools for legal research, document work and collaboration. Xegality is building an alternative around similar needs, with features presented specifically for Indian practice. The competitive opportunity lies in how well those features fit the routines of the lawyers using them.
That local focus includes Indian case law, court records, invoices linked to matters and the tracking of physical files. Users can also ask questions in Hindi and Hinglish. Such details reflect the practical setting in which the product is intended to operate. For a lawyer, the location of a paper file or access to information in a familiar language can matter during an ordinary working day.
Trust remains central to legal AI. Xegality describes a system in which users can open the sources behind an answer and examine the material themselves. Lawyers retain responsibility for checking research and reviewing drafts before use. The value of the software will depend on how clearly it supports that preparation and review, as well as how easily its work can be checked.
For Sharma, creating Xegality marks the move from a product idea to a usable platform. Its longer journey will depend on everyday experience, reliability and continued improvement. The immediate achievement is a product that connects several parts of legal practice in one place. Built in Jaipur, Xegality is entering the legal AI conversation with Indian requirements at the centre of its approach.
