What you'll get with this service

Lexsys AI Case Preparation service combines all supporting case documents into one court admissible PDF document with index once Case Validation is completed. It will then pull all of the relevant case information together to write a targeted court demand ready for court submission.

Case File Compilation

We combine all case documents in chronological order into one single PDF with supporting indexes as required by the courts.

Demand Generation

Lexsys AI will draft a court demand individually tailored to the case with case specifics and all legal arguments.

Case Signing & Certification

All case files will be certified with the lawyers card ready for automated submission or ready for preview and manual submission by a lawyer.

Frequently asked question

In practical terms, for a consumer claiming against abusive clauses in finance agreements, AI can reliably:

  • Quickly identify high-risk clauses.
  • Summarize potential legal issues.
  • Support lawyers with evidence for filing claims.

A case is only valid if it is presented with the following:

  • An Apud Acta, granting us Power Of Attorney, signed using the Lexsys provided mobile application, requiring your client to provide their unique government issued Digital Certificate and DNI number.
  • An image of the front and rear of their DNI card. The Legal AI Agent will retrieve the DNI number from the card and match it to the DNI number on the provided Apud Acta.
  • A copy of the Finance Agreement containing a claim which has been assessed by our Legal AI Agent Case Assessment system, and a receipt of at least one payment made against this finance agreement by the client. The DNI on the Finance Agreement is again retrieved and must match that on the provided DNI card and Apud Acta.

In practical terms, AI Legal Tech can detect between 10 and 15 distinct abusive clause types in a single standard consumer finance agreement.

AI legal tech relies on machine learning based on examples of contracts and annotated clauses. To learn a new claim type the system needs annotated examples, contracts with the new clause type clearly labeled and historical claims or successful court cases as training references.