AI & LLM solutions
LLM Workflow for Completing Standard Contracts
SCOPE
Template-based contracts were filled in manually from dozens of spreadsheets — slow and prone to errors. Simple text replacement was not enough: Word splits placeholders across arbitrary XML fragments
SOLUTION
  • Built an LLM pipeline that analyzes the data structure, identifies mismatches between placeholders and columns, and generates and debugs code
  • Built a replacement engine that parses paragraphs segment by segment, correctly handling split placeholders and multiple fields within a single paragraph
  • Set up declarative mapping: a single dictionary connects each placeholder to its data source and can be extended without changing the logic
  • Handled edge cases including date formats and inconsistent column names
OUTCOMES
A full batch of contracts is generated from the registry in a single run instead of being completed one by one. Word formatting is preserved, and the approach can be reused for any standard contract template
Helping map out the tech roadmap to reach your business goals
OGRN 1247700419658
INN 9709111934