Lexroom Modules Reduce Token Costs

This modular design turns legal AI from a giant general purpose search problem into a much smaller, practice specific one. A tax firm does not need the model to sift through criminal or family law materials before answering a VAT question. That means fewer irrelevant sources retrieved, shorter context passed into the model, and lower inference spend per answer, while also making citation quality easier to control in a high risk domain like law.

• Lexroom sells at the module level, starting from 75€ per month for 1 module, 1 user, and up to 200 documents. That packaging maps the product to how small Italian firms actually buy software, by narrow practice need rather than broad platform replacement.
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• Each module bundles the source types that matter for one area of law, including statutes, case law, practice, and authority guidance. In retrieval terms, that acts like a hard filter before the model reasons, which cuts wasted tokens and reduces the odds of surfacing the wrong doctrine.
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• The contrast with broader legal AI platforms is that products like Harvey and Legora are expanding toward multi step workflows across many legal tasks and data sources. Lexroom is going narrower first, using domain segmentation to make research cheaper and more reliable inside Italian practice areas.
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The next step is turning each module into a deeper firm specific system by combining practice area filters with private documents, templates, and workflows. That pushes Lexroom toward higher accuracy and stickier usage, while keeping compute economics favorable as query volume grows across more firms and jurisdictions.