AI use case

Assisted Legal Document Generation

Draft reliable legal documents more quickly from your templates, internal rules, and regulatory requirements.

  • Executive
  • Human Resources
  • Legal
  • Procurement

On a Friday evening, a lawyer has to finish a contract amendment for signature on Monday. The Word template on hand is two years old, some clauses were copied from another contract without checking they still apply, and nobody has time to review the whole thing with proper distance.

Fasfox builds assistants that assemble a first draft from clauses validated by the legal team, and that flag departures from that reference set rather than hiding them inside fluent text.

The amendment due before Monday

Legal drafting rarely happens at a calm pace: an amendment, a formal notice, or a subcontracting agreement often has to be ready before a deadline set by someone else. The starting point is almost always an existing document, adjusted by hand, with clauses copied from a neighbouring file with no certainty that they still match the current version of the internal reference set.

A generator produces a fluent, well-structured document that reads as finished work. That formal polish hides the real risk: an outdated termination clause, a reference to a repealed regulation, an inconsistency between two paragraphs. This flaw stays invisible in the quick read that follows a demonstration, and surfaces only the day the document is relied upon in a negotiation or a dispute.

The assistant assembles a first draft from validated clauses and explicitly flags any departure from the reference set or any missing clause. The resulting document always goes to legal review before it is sent or signed; no version reaches a third party without sign-off from someone authorised to give it. What changes is where the lawyer’s time goes: less of it spent assembling boilerplate, more of it spent on the clauses that actually carry risk.

A validated clause library as the starting condition

The project assumes the legal team has validated and dated every usable clause, held in a library kept separate from the folder of past contracts where good and bad clauses sit side by side. It also assumes explicit agreement on which categories of document automation is acceptable for, a standard NDA does not carry the same stakes as a public procurement contract. Without that prior sorting, it is better not to automate.