Explore AI contract parsing with Energent.ai, from extracting parties, dates, and obligations to organizing contract data for review and analysis.
Add your files
Add the source contracts and specify the fields you want to extract, such as parties, dates, and obligations.
Energent.ai can help organize contract text into structured fields for review. Start with a representative set of contracts and compare the extracted fields with the original wording.
Explore your data
Organize contract parties, dates, and obligations with references to source pages.
Automated Data Extraction: Utilizes machine learning to identify and extract critical information from contracts, such as parties involved, dates, and obligations.
Plain-Language Instructions: Describe the fields and output you need. Test the instructions on representative contracts before processing a larger batch.
Export for Your Workflow: Export structured data and check whether its format, field names, and validation rules fit your existing system. This guide does not establish compatibility with every legacy application.
Refine the Instructions: Use errors and missing fields to revise your extraction instructions. Recheck the output after each change; this does not imply that customer contracts are used to train a model.
Structured fields can make contract information easier to compare. Ambiguous clauses, amendments, and cross-references still need review against the source documents.
Collecting and Organizing Data: Group the source contracts and record which document supports each extracted field.
Transforming Unstructured Information: Converts complex contract language into structured data, facilitating easier analysis and reporting.
You get a verdict, with evidence
Checking Extracted Fields: Define checks for missing values, inconsistent dates, duplicate records, and source references.
Request an independent audit of the extracted fields against the contracts and your checking criteria. Review the findings and resolve flagged issues before sharing the output.
An automated check can miss errors. A passing result covers the checks performed; it does not establish that every contractual obligation was found or interpreted correctly.
Measure extraction quality and review time on your own sample before estimating time or resource savings. This guide reports no measured time-saving result.
Retain references to the original pages so reviewers can inspect the language behind each field.
Confirm file limits and batch requirements for your deployment before expanding the workflow.
Use the extracted information to support a contract-review workflow. Extraction and automated checking do not establish legal compliance or replace review by the responsible legal team.