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Whenever contracts are sent to CXOs, legal or finance teams for their approval or signatures, they are interested to know if a certain language is present or absent in the contract. This helps them to understand the nuances of the contracts, viewpoints of various stakeholders, etc. and they can quickly take an informed decision.
With this release,
To configure generating contract highlights from an agreement:
To add the created Associated Document Contract Type to the Agreement Contract Type:
To upload Agreements in bulk:
1. Click Agreement Management > Agreements on the dashboard. The Agreement Management page opens. Let us take an example of an Agreement Contract Type (CT1) that should have already been created and published.
2. Click Bulk Actions > Bulk Actions on the dashboard. The Bulk Action Management page opens.
3. Click Add Batch. The Add Batch pop up window opens.
4. Click the Select Batch File button to select the file for a bulk upload. In this example, we are selecting the LegacyBulkUpload.zip file.
5. Click the Submit button. The File Uploaded Successfully message is displayed.
6. Click OK. The file is now displayed in the Grid view with the status Not Started.
7. Click Refresh icon twice. On first Refresh, the Status changes to In Progress and then to Needs Validation.
8. Select an Actions radio button for the file that you want to finalize. The Validate and Finalize buttons are enabled.
9. Click the Validate button to download the PopulatedData.xlsx file. The values of the Attributes can be edited in this file.
Note: The data in the Excel sheet that is marked green signifies the highest confidence level, data in yellow indicates medium confidence level and data in red indicates lowest confidence level. You can then make any changes to the Attribute values. (In this example, you can make changes to the Attribute value from the downloaded PopulatedData.xlsx file).
10. Click Save to save the changes.
11. Click the Finalize button, the PopulatedData.xlsx file can be uploaded. The Finalized File Uploaded Successfully message is displayed.
12. The Needs Validation status changes to Completed.
13. Click the Agreements tile to view the Agreements which will be in the Draft state.
Along with clauses and metadata, ICI also extracts tables (including information such as SLAs, price list, etc.) in Agreements and displays them on the Tables tab (on the Details page). ICI tries to match the discovered table(s) with the Associated Contract Types of the Agreement. If a strong match is found, then the table is tagged with that Associated Contract Type, and the table columns are also matched with the Attributes of that Associated Contract Type.
You can then take relevant action such as creating new instances of the Associations. Automatically recognizing table data inside the Agreements saves a lot of manual labor of identifying and tagging the data correctly.
The table discovery allows you to:
The table discovery in PDF agreements works well with:
The table discovery in PDF agreements may not work well with:
To discover tables in an Agreement:
1. Create an Agreement (Third Party Type Of Paper).
2. Ensure that the Clause Discovery functionality is turned On and the Contract Type is enabled for table discovery.
3. Create and Publish the Agreement. ICI automatically queues the Agreement for table discovery.
You can view all the discovered tables in an Agreement, so that you can review them and take actions as needed (based on whether they meet the criteria for creating an associated document or not).
1. Click the Tables tab on the uploaded Agreement Details page.
2. ICI displays a list of the Discovered Tables for that Agreement Document.
1. Click the Edit Table Name icon next the table that you want to edit. For example, Table 2.
2. Toggle the Has Header button toYes if you want the table to have a header.
3. Click inside the header box to add the header name. For example, PSE Workers, Term, etc.
4. Click inside each of the boxes to add data in the columns. For example, 3.0 (Version), 09 Sep, 2019 (Date Released), etc.
5. Click Save Changes to save changes if you want to review or edit them later. The Table data saved message is displayed.
6. Select the Association for which you want to create this data from the Select Association drop-down. For example, Payment Details.
7. A validation message is displayed to check if you want to save the updated data. Click Save to update the data in the table, else click Discard.
8. Select the checkbox for the rows and columns that you want to update.
9. Click Finish. A validation message is displayed informing you that you will not be able to make any changes to the table data after this.
10. Click Yes if you are sure that you want to update the table and proceed.
11. A message is displayed indicating that the table data is saved and the Associations are being created. Click Yes if you are sure that you want to update the table and proceed, else click No.
12. You can view the associations on the Associations tab.
13. Click View Record to view the details of the individual records.
14. You can take further action as needed. For example, send it for Approval.
You can create Associated Documents using the data in the discovered tables. You are basically discovering the Associated Document type and the columns associated with that document type.
To do so:
1. Click the Tables tab on the uploaded Agreement Details page.
2. In the Discovered Tables window when matching data is present, the exact Associations with that table are discovered. For example, the Payment Details are discovered. These are associated and the names of the header are also discovered.
3. You can select whether the table should have a header or not by enabling the Has Header flag to Yes.
By doing this, the first row of the table will be marked as the header and Associations will not be created for it. If there are 2 rows other than the header, then 2 Associations will be created. A green tick mark will be displayed next to them which means that they are successfully created in the Tables tab.
4. In the Discovered Tables window, make changes in the table as required. For example, select 3 rows and columns.
You can save the interim progress of the Table Discovery for an Agreement, so that you can review it later by:
1. Click Save Changes. The Table data saved message is displayed.
You can complete the Table identification for an Agreement, so that the identified tables become part of the Agreement.
1. Click Finish. A message will be displayed indicating that you will not be able to make any changes to the table data.
2. Click Yes if you are certain that you want to make the changes, else you can save changes and review them later.
3. Click the Associations tab to see the Associations that are discovered, as shown in the screenshot below:
4. Click the Payment Details association to view the details and send for approval.
5. Click Export to Excel if you want to export the table that has been discovered.
Note:
ICI already leverages the DiscoverAI app to discover attributes, clauses, tables and obligations in agreements created using third party paper type.
Now, ICI has extended the support to discover attributes, clauses, tables and obligations in agreements created using own paper type, and tagging the attributes and clauses to the original agreement document. This helps convert unstructured documents into structured agreements, making it easier to manage and also increase compliance.
Note:
To discover attributes, clauses, tables and obligations using own type of paper:
1. Create an agreement using Own Type of Paper.
2. Click Next. The Attributes page opens.
3. Select Discover AI from the Clause Discovery Type drop-down and ML based from the Obligation Discovery Type drop-down.
4. Click Next. The Select Template page opens.
5. Select a template or upload a file.
6. Click Next.
7. Click Create and Publish. The agreement Details page opens.
All non-tagged attributes, clauses, tables (if present in the agreement document) and obligations (if you select the value in the Obligation Discovery Type drop-down) are discovered.
1. Click the Attributes tab.
2. Click Save to confirm the attributes. You can also modify the discovered attribute values by clicking the View potential matching values icon and then click Save.
The AI model will learn and recommend values when:
The newly learnt values will, from thereon, be presented as default to the user and any changes will continue to be learnt and recommended by the AI model.
3. The Metadata Save Confirmation message is displayed.
4. Click the Versions tab.
5. Download the latest version of the agreement in Word format. The discovered attributes are tagged as ICI attributes in the agreement document, as shown in the screenshot below:
1. Click the Clauses tab. The discovered clauses are displayed.
2. Take actions (such as Confirm, Confirm with Deviation, Ignore, Review Later) on the discovered clauses.
3. Click Finish to complete the review process, as shown in the screenshot below:
4. Click the Versions tab. A new version of the agreement is created in both Word and PDF formats.
5. Download the latest version. The confirmed clauses are tagged as ICI clauses in the agreement document.
Note:
Previously, discovering attributes and clauses in customers’ agreement documents was time consuming as it required retraining of the algorithms from scratch, causing delay in deployment of services.
Now, ICI has an inbuilt discovery model that helps to automatically extract and discover the most common attributes and clauses in agreements besides enhancing clause delineation in third party contracts. This facilitates the prediction of accurate clause categories and capturing the right metadata within clauses. This improves contract turnaround time and quality of results, thus leading to improved user experience.
The inbuilt discovery model supports the discovery of the following predefined attributes and clauses in any MSA, NDA and SOW third party paper contract types:
Note: The Contract Value attribute supports the following currencies - USD, CAD, EUR, INR and CAN
The discovery support has been further extended for URL datatype attributes. DiscoverAI would be able to discover the URLs in contract and associate them with URL datatype attribute. Also, users now would be able to select and save multi-choice attributes as well as multi-choice lookup datatypes on the Attributes Discovery page.
With this release, identification of the following attributes in the document has additionally been introduced: City, State, Zip code, Country, Point of contact – Name, Point of contact – Title, Point of contact – Address, Point of contact – Email and Point of contact – Phone.
Users can manually trigger the attribute discovery on the Attributes page itself, while uploading a third-party document, during the agreement creation process. Discovered values will then be auto-filled in empty attributes and users can view additional potential options for the discovered attributes.
Users can:
• View the progress of the attribute discovery.
• Identify AI discoverable attributes on the “Attributes” page of the agreement creation wizard.
• View the values recommended by AI for discoverable attributes.
• View the agreement document on the “Attributes” page itself, for quick validation of AI recommended values for discoverable attributes as well as attributes values already tagged in the agreement document.
1. Create an agreement using Third Party Type of Paper.
2. Click Next. The Attributes page opens.
3. Select a document in the File Path field. For example, ICMMasterServiecesAgreement.pdf. The Discover Attribute button will be displayed, using which user can trigger attribute discovery manually.
4. Click Discover Attributes.
The discovery process starts in the background and the details are displayed on the Attributes page.
Once the discovery process is complete, the document presents the discovered attributes with all potential matching values as suggestions.
5.Click the View potential matching values icon corresponding to the discovered attribute to take actions on them such as Accept or Keep Selected Text. For example, TerminationPeriod has two suggestions.
The first value in the suggestions will be selected by default. For example, 8 years. Users can select any value from the presented suggestions.
The attribute values are normalized and displayed based on the defined rules. For example, the Effective Date is displayed in the ICI-supported format, as shown in the screenshot below:
The level of confidence associated with Discovered Attributes is displayed using different color indicators to depict High (green), Medium (orange) and Low (pink) and Revised Manually (blue) confidence.
Users will be navigated to the page in the document where the attribute is present, upon clicking on the attribute fields.
6. Click Next.
7. Create and publish the agreement following the standard ICI workflow. The agreement is created in Draft state.
Clauses: The most common clauses from the agreement document that you uploaded, are discovered and displayed in the Clauses tab.
eDiscovery using AI
With this release, we are now introducing a framework using Artificial Intelligence to automatically identify and analyze clauses in the legacy contract. This will help contract owners to leverage existing documented clauses and derive insights from them.
With eDiscovery using AI:
This feature is available in ICI through a technical configuration. To configure the eDiscovery of clauses:
The eDiscovery Mode attribute has 3 options: None, Auto andManual Review.
The discovery models have now been enhanced to support clause and obligation discovery for the following additional languages – German, Spanish and Portuguese, to meet the needs of our customers.
With this release:
Previously, clauses discovered through DiscoverAI followed a flat structure in which every paragraph was identified as a clause and assigned a clause category. However, in a contract each paragraph could be part of a typical hierarchy where, for example, a clause might be a combination of multiple paragraphs forming one section.
With this release, DiscoverAI is being considerably enhanced to identify the different levels within a clause. Users now have a distinct visual representation of clauses with sub-sections of clauses displayed in a delineated view, during the clause discovery process. The hierarchical representation of clauses helps users to compare clause sections, sub-sections and so on.
Further, any document objects which are in the agreement document but not necessarily a part of the clause language will now be identified separately and will be excluded from the actual clause discovery process.
Currently support for clause delineation is provided for documents in well-structured format. Hence, it is recommended to use documents in which:
Note:
A few examples:
List Levels added from the MS Word List Library are supported.
Previously, contract negotiators had to periodically visit the AI discovery section to check for discovery completion. Then, they had to switch to the Document View in order to review the recommendations given by the AI algorithm.
With this release, when contract negotiators trigger the discovery process, they can readily view the progress of AI discovery within the agreement details page.
When the discovery for one of the entities is complete, contract negotiators will now have an option to launch an interface in a new window where the discovered clauses, attributes, tables and obligations are displayed alongside the agreement document. On clicking any of the discovered entities, the system automatically scrolls to the page where that entity is present in the document.
1. Create an agreement in ICI. The discovery process is automatically triggered for the agreement and the agreement Details page is displayed. The AI Discovery tab shows an hourglass icon to indicate that the discovery is in progress.
Note: Discovery process for an agreement is triggered only for users with the AI license if the discovery is configured for a contract type.
The discovered clauses are displayed in a delineated view to indicate the main section, sub-sections and so on, of each identified clause by default.
Screen 2 & 3
You can filter clauses based on Action Status, Clause categories and Confidence.
The level of confidence associated with Discovered Clauses is displayed using different color indicators to depict High (green), Medium (orange), Low (pink), Revised Manually (blue) and Library Clause (grey) confidence. All discovered clauses have the Review link next to them until you click it to take an action (such as Confirm, Confirm with Deviation, Ignore or Review Later). In addition, clauses with obligations have the icon next to them. You can click the icon to view the obligations.
You can review an entire section as a clause or review each sub-section separately and confirm each as a separate clause.
To enable or disable clause hierarchy view:
10. Uncheck the Clause hierarchy checkbox to view only the parent level clauses.
Screen 4 & 5
To rearrange discovered clause boundaries:
11. Click Rearrange clauses link if you want to rearrange clause boundaries. The discovered clauses open in an edit mode.
screen 6
Users can take following actions on the discovered clauses from the Rearrange clauses page.
Users can keep the clause category as blank if a text which is not part of any clause has been miscategorized as discovered clause.
Screen 7
i. Select the text you want to merge as a single clause. For example, recitals sub clauses- 2.1.1 (from Purpose of…), 2.1.2 and 2.1.3. The Merge button will be enabled.
Screen 8
ii. Click Merge. The selected text spanning across multiple discovered clauses will be merged into a single clause.
Screen 9
Users can select clauses from same or different categories to merge by selecting the text.
i. Select the text in a clause you want to split into separate clause. For example, a section starting from ““Defect(s)” means significant to for the Program. The Split from existing button will be enabled.
screen 10
ii. Click Split from existing. The clause will be split into three parts- The selected text as one clause and previous and later unselected texts as two separate clauses.
For example, three separate clauses are created for texts as:
“Agreement” means to and addenda.
““Defect(s)” means significant to for the Program.
”Derivative Work(s)” means to of the Programs.
screen 11
i. Select the text in a clause you want to make as a sub clause. For example, “”Defect(s)” means to of the programs. The Create Sub Clause button will be enabled.
screen 12
ii. Click Create Sub Clause. The clause will be split into two clauses with the selected text as a child clause.
For example, text from “Agreement” means to and addenda, will be marked as a parent clause and text from “”Defect(s)” means to of the programs, will be marked as a sub clause.
Screen 13
i. Click Increase Indent button corresponding the clause you want to change level of. For example, Use of proceeds clause.
screen 14
The clause will move to a higher hierarchy.
screen 15
ii. Click Decrease Indent button corresponding the clause you want to change level of. For example, Use of proceeds clause.
The clause will move to a lower hierarchy.
screen 16
The Confidence Indicator will change to blue for any change in a clause.
12. Click Undo if you want to discard the changes.
13. Click Save. The changes will be saved to the discovered clauses.
screen 17
To export discovered clauses:
15. Click Review button corresponding to the Tables. The Review button will be enabled when there is at least one discovered Table.
Similar to clauses, the discovered tables and document are displayed in a parallel view. The Document View section displays the page of the document where the table is present.
Related Topics: Agreement Management | Obligation Management | Managing US Federal Contracts using ICI | Contract Digitalization | NegotiateAI | ObligationAI | VisualizeAI
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