Lexcat is an AI case-handling assistant for lawyers, law firm teams, and corporate legal affairs. It strings together several high-frequency tasks into a reusable process: legal search, document drafting, case material sorting, client negotiation, and mock court.
The search section focuses on legal issues, regulatory names, case numbers and similar case clues to quickly locate available evidence; document drafting supports indictments, defenses, lawyer letters and contract texts, and a first draft is produced based on the facts and demands of the case; case material sorting involves uploading files to do intelligent analysis, fact sorting, evidence summarization, and prompts for what materials are still missing.
Two less common features are worth mentioning. One is AI case negotiation, which generates a list of required questions based on the cause of the case and organizes interview minutes on a rolling basis to structure customer communication; the other is material privacy processing, which identifies and desensitizes sensitive information in legal documents to reduce the risk of external collaboration and feeding materials to models - this is actually a necessity in the legal industry.
The official has clearly stated the boundaries: the generated results are work aids and do not constitute legal advice. Regulations, cases, factual judgments and document contents still need to be verified by professionals based on the original materials. This attitude is more honest than many similar products.