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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":
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 to Yes if you want the table to have a header.
3. Click inside the header box to add the header name. For example, Customer Name, Results, etc.
4. Click inside each of the boxes to add data in the columns. For example, MSA Effective date, 2/06/18, 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, "Import Export".
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 "Import Export" 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. Clickthe Associations tab to see the Associations that are discovered, as shown in the screenshot below:
4. Click the Supplier 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 the seeded AI model- DiscoverAI Standard in the AI Model.
4. Click "Next". The "Select Template" page opens.
5. Select a template or upload a file.
6. Click "Next".
All non-tagged attributes, clauses, tables (if present in the agreement document) and obligations are discovered based on the DiscoverAI Standard model configuration .
1. Click the "Attributes" tab.
2. Click "Edit" to edit the attributes. You can also modify the discovered attribute values by clicking the View potential matching values icon and then Click "Update".
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.
4. 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. It is a seeded, pre trained model named DiscoverAI Standard. 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.
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" button will be displayed, using which user can trigger attribute discovery manually.
4. Click "Discover".
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, "Party Name" has four suggestions.
The first value in the suggestions will be selected by default. For example, Agreement For Contract Services. 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:
Clauses: The most common clauses from the agreement document that you uploaded, are discovered and displayed in the Clauses tab.
ICI supports clause and obligation discovery for agreements in English, German, Spanish and Portuguese languages.
With this release, a language framework has been implemented for AI discovery which can support a large number of languages. Using this generalized framework, DiscoverAI, NegotiateAI, and DiscoverAI for legacy apps have been enhanced to support additional European languages – French, Dutch, Norwegian, and Swedish.
Along with the clause and obligation discovery support, AI models can now discover attributes too, in all the supported languages.
In a contract each paragraph could be a part of a typical hierarchy where, for example, a clause might be a combination of multiple paragraphs forming one section.
ICI DiscoverAI identifies these different levels within a clause to give users a distinct visual representation of clauses with sub-sections of clauses displayed in a delineated view, during the clause discovery process. Clause discovery processor identifies sections and sub-sections in the supported document formats up to 3 levels. This hierarchical representation of clauses helps users to compare clause sections, sub-sections and so on.
The DiscoverAI will also use a clause delineation logic based on the clause titles to identify up to one level of sub clause(s) in conjunction with the visual indentation based clause delineation logic. For example, while identifying the clause category, the entire text under title Introduction is identified as a clause.
Further, any document objects which are in the agreement document but not necessarily a part of the clause text, such as table of content, titles, headers, footers, and multiple signature blocks, will now be identified separately and excluded from the actual clause discovery process.
The clause delineation in Discover AI supports Word documents, text PDF and mixed formatted .docx documents. It also supports Word documents that do not use any styles. The DiscoverAI will follow the clause delineation method that will be more suitable to the specific document file format to give more accurate clause identification.
The title-based delineation is only supported when working in English language.
This helps to get better clause delineation, eliminates a large number of incorrectly classified clauses, and allows users to review the parent clause and child clause individually.
Formatting-based clause delineation supports the Icertis Experience for Word to display the discovered clauses in a hierarchical format to the user.
Appropriate indentation should be followed as per clause level while designing the layout. Indentation of parent clauses must be lower than child clauses.
Below are the few examples where the clause delineation is supported:
List Levels added from the MS Word List Library are supported.
== Reviewing discovered entities == 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.
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.
5. Click "Review" on the clause you want to review, for example "Recitals". The Library clause comparison with discovered clause window opens.
You can review an entire section as a clause or review each sub-section separately and confirm each as a separate clause.
6. Take actions (such as "Confirm", "Confirm with Deviation", "Ignore" and "Review Later") on the discovered clauses. To enable or disable clause hierarchy view:
To rearrange discovered clause boundaries:
7. Click "Rearrange clauses link" if you want to rearrange clause boundaries. The discovered clauses open in an edit mode.
Users can take following actions on the discovered clauses from the "Rearrange clauses" page. *Manage category: Users can change the category of discovered clauses using the "Category" drop down at the top of each discovered clause. Users can keep the clause category as blank if a text which is not part of any clause has been miscategorized as discovered clause.
*"Merge": Users can merge two or more clauses using the "Merge" action. i. Select the text you want to merge as a single clause. For example, Agreements for contract services and Services. The "Merge" button will be enabled.
ii. Click "Merge". The selected text spanning across multiple discovered clauses will be merged into a single clause.
Users can select clauses from same or different categories to merge by selecting the text. *"Split from existing": Users can split a clause into two or more clauses using "Split from existing" action. i. Select the text in a clause you want to split into separate clause. The "Split from existing" button will be enabled.
ii. Click "Split from existing". The clause will be split into two parts- The selected text as one clause and previous and later unselected texts as two separate clauses.
ii. Click "Create Sub Clause". The clause will be split into two clauses with the selected text as a child clause.
i. Click Increase Indent icon button corresponding the clause you want to change level of.
The clause will move to a higher hierarchy.
ii. Click "Decrease Indent" button corresponding the clause you want to change level of.
The "Confidence Indicator" will change to blue for any change in a clause.
8. Click "Undo" if you want to discard the changes.
9. Click "Save". The changes will be saved to the discovered clauses and the Your data has been saved successfully message is displayed.
10. Click "Ok". To export discovered clauses:
11. Click "Export Clause Data" if you want to export the clause which has been discovered.
12. Click "Finish" to complete the review process. The Clause discovery progress saved message is displayed and the Discovered Clauses Status changes to Review Completed.
14. Click "Ok".
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.
16. Click the Edit Table Name icon next the table that you want to edit. For example, Table 1 Toggle the "Has Header" flag to "Yes" if you want the table to have a header.
18. Click inside the header box to add the header name. For example, Resource Type, Rate per day, etc. 19. Click inside each of the boxes to add data in the columns.
20. Select the checkbox for the rows and columns that you want to update. 21. Click "Save Changes" to save changes if you want to review or edit them later. 22. 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.
23. Click "Yes" if you are sure that you want to update the table and proceed. 24.Click the "Obligations" tab. Similar to tables, the discovered obligations and document are displayed in a parallel view. The Document View section displays the page of the document where the obligations are present.
25.Click "Review" on the obligation you want to review. The "Review Obligation" window opens.
The following actions can be taken on selected Obligation: *Click "Confirm" to confirm the Obligation. *Click "Review Later " if you are unsure and want to review the Obligation later. *Click "Ignore" to ignore the Obligation. 26. Click "Metadata" to view all the discovered metadata. The number (for example, 10.10) indicates the number of Attributes that are discovered such as Email, Numbers, Date and Time, and so on. 27. Click "Parent Clause" to see the parent Clause that the Obligation is linked to. 28. Click "Export Obligation Data" to export the Obligation information to an Excel file. 29. Click "Finish" to complete the review and continue with the workflow as expected. The "Obligation Save Confirmation" window opens. 31.Click "Ok". 32.Click "Export Obligation Data" to export the Obligation information to an Excel file.
Functionalities difference between Discover AI and Negotiate AI in Icertis experience for Word
To Discover Attributes and Clauses
1. To Discover attributes and clauses, click on “Discover Attributes and Clauses” option from the “Icertis Experience for Word” Dashboard.
AI engine recommends discovered values to users and they select the correct values for attributes or clause or obligation category. ICI AI will now capture and learn from these user interactions and keep optimizing its discovery for derived attributes, clause categories, and obligation categories to get better recommendations in subsequent discoveries. This functionality is available automatically for users with the DiscoverAI license and no further configuration is required.
To review the discovered entities in a document:
1. Click "Agreement Management" > "Agreements" on the Home page. The agreement index page opens.
2. Click the View Record icon corresponding to the agreement for which you have run the discovery and now want to review. The agreement Details page opens.
3. Click the "AI Discovery" tab in the left navigation pane. The "AI Discovery" Progress page opens in the right pane.
You can review discovered Clauses, Attributes, Tables and Obligations by clicking the Review button corresponding to each entity. The Review button will be enabled when at least one instance of the entity is discovered in the agreement document.
To review discovered clauses:
1. Click "Review" corresponding to "Clauses". The Review Clauses page opens.
2. Click the Change Clause Category edit icon corresponding to the Clause whose Category you want to change.
3. Select the correct Category which you know the Clause belongs to. For example, change the Category for discovered clause form Payment Terms to Scope/Purpose.
4. Click "Finish". The "Clause Save Confirmation" window opens.
1. Click "Review" corresponding to Attributes. The Edit Agreement page opens.
For such attributes, Configurator can enable the training mode and mandatory feedback field in the AI Attribute Discovery Master to ensure that business user will enter the suitable matching reference text from the agreement to back up that selected option in the attribute.
2. Click "Accept" or "Ok" respectively to select the modified value in Attributes.
3. Click "Next" and continue with the workflow to update the agreement.
These user actions on Attributes will be captured, stored and then utilized for self-learning by DiscoverAI.
The next time when user runs the discovery for the same agreement contract type against the same AI Model, these revised attribute values will be discovered and presented automatically.
The Discover AI in ICI presents all the new opportunities where you can selectively discover attributes, clauses, obligations and tables and keep optimizing the discovery through continuous learning from user responses.
With this release, ICI launches the capability to create your own AI Models and define the discoverable entities in them.
With the introduction of an explicit training mode, it is possible for users to train the AI model by themselves.
Users can now:
ICI Discover AI introduces AI masters to store and maintain the discoverable document objects.
These AI masters are seeded and come with the pre-configured entries for attributes, clauses and obligations. You can add your own entities to these masters as per your business requirements.
The entities defined in these AI masters will then be available for configuring your AI Models.
To create an instance of AI masterdata to add new discoverable object:
Refer the ICI Obligation Management page for further details on Obligation Taxonomy Master.
Ruleset comprises the processing rules which the AI discovery engine would follow for discovering document objects in an agreement.
After the discoverable objects are defined in their respective AI Masters, you can configure your own AI model by creating an instance of the seeded AI Configuration Master and define its structure by selecting your own set of discoverable entities.
The ICI seeds a pre trained model named DiscoverAI Standard. Refer to the "Inbuilt Discovery of Attributes and Clauses" for further details.
As we have only selected "Attributes" and "Clauses" to be discovered using this AI model, the field to select "Obligations" will not be displayed.
When you select "Obligations" as well in the "Entities to be discovered "field, the "Obligations" to discover field will be available to select the obligations from the "Obligation Taxonomy Master".
The "Rulset" dropdown displays all rulesets from the "AIRuleSetInfo" master.
If you want to generate the training report for AI Models to monitor their learning progress over the period, you can edit the AI Configuration Master Contract Type and add these attributes to generate and access the report.
To select and apply the AI Model for discovering entities when creating agreement instance, you must add the seeded attribute AI Model to the agreement contract type as lookup to the AI Configuration Master. The attribute will display all AI Models configured in ICI as instances of the AI Configuration Master.
You can add the attribute to a contract type either when creating it or can add the attribute after creation by editing the contract type.
To edit and add attribute to contract type:
Once added to the contract type, the attribute AI Model will be available while creating the instances of that contract type.
While creating agreement, you can select your AI Model to apply for discovering document objects in the agreement. The discovery will happen according to the configuration for attributes, clauses, obligations and using ruleset defined in the selected AI model.
To apply AI model while creating agreement:
The discovery for entities will happen as per the applied AI model. While working on agreements, if user changes the discovered value and enters a new value other than the suggestions, the response will be captured and utilized for self- learning by DiscoverAI. The improved discovery will be apparent from the subsequent deliveries.
Here, as per the applied AI Model- "Financial data AI Model", one "Clause Category", three "Attributes" and one Table are discovered in this agreement.
You can click the "Attributes", "Clauses", "Tables", "Obligations" buttons corresponding to each entity to review their discovery results separately.
To review discovered Attributes:
If this attribute has enabled training mode in the "AI Attribute Discovery Master", Associated text box will appear to enter the reference text from the document, to back up the entered value, beside the "Attribute".
The system stores user specified attribute value and the associated text upon saving the agreement. Discover AI will further utilize these to learn and improve its discovery for this attribute in its subsequent discoveries.
When the attribute discovery is run for the same contract type using the same AI model, the Discover AI will discover and suggest the revised value.
Similarly, the DiscoverAI will learn by monitoring the user behavior for the "Clause" and "Obligation Category" to improve discovering clauses and obligations.
To review discovered clauses:
Click the "Review" button under the three dots menu next to Clause name. The "Review Clauses" page opens.
Here, the selective discovery of clauses takes place, displaying only the clauses for the clause category configured in the applied AI Model will be discovered.
Click the "Review" button under the three dots menu next to Table name. The Discovered Tables page opens.
Here, the table is discovered in the agreement as the applied AI Model has configured Tables as entities to discover.
Similarly, when configured in the applied AI Model, Obligations will be discovered.
To help administrators to monitor the DiscoverAI’s self-learning progress, a new AI Model Training Performance Report has been introduced for each AI model defined in ICI. The report provides a check over the discovery performance for attributes and the need to train AI model with more examples.
Refer the AI Model Training Performance Report on the Reports page for deatils.
The evolving business dynamics have necessitated the businesses to not only be aware of their contractual risk and obligations, but also gather the intelligence from the contracts, to monetize opportunities and accelerate business.
Introducing AI Studio to facilitate the processing of documents in bulk to identify and analyze a volume of data and derive the actionable insight to use for the business advantage. Users can process the agreement documents in the ICI platform as well as those outside of the ICI platform and apply desired AI model to get the insights.
A new AI Studio tile has been introduced on the ICI UI Home page, for authorized users to run a new analysis for a set of documents against specific AI model. The AI Studio analysis supports .docx, .pdf and .zip files as document source as well as a network path or a saved search with an option to include associations. You can also add additional file sources using the customization hooks.
The analysis results are available in a summarized report form. The report displays the summary of identified attributes, clauses, tables and obligations in an interactive chart. If a user wants to deep dive into a specific document, then the report provides an option where user can view the discovered entities alongside the original file.
The access privileges to the "AI Studio" is further controlled through "Security Groups".
To edit AI Studio privileges:
To run a new Analysis:
The page displays the statistics for all previously analyzed batches with the option to run a new analysis batch.
You can select documents either in three ways:
The "Upload File" option enables you to analyze the non ICI documents in the AI Studio.
Select the checkbox "Include Associations" if you want to process respective parent-child associations along with agreements present in the saved search. This options facilitates the complete coverage of an agreement.
The user initiated discovery for agreement would take precedence over the processing of AI Studio analysis batch.
The AI Studio page serves as the Analysis index page and displays the complete statistics of all the analysis batches that have been run.
The completed analysis batch name is blue in color clicking to the result page opens.
Click the AI Studio tile on the ICI home page. The AI Studio index page is displayed.
Click the “View Results” icon in the “Action” column next to the AI Studio batch, for which you want to view the report.
The Report Summary page opens in a new tab and provides an overview of the documents processed, attributes, clauses, tables and obligations discovered along with confidence score.
Note: Similar to the other Power BI reports, access to the AI Studio report needs to be provided by administrators through the “Report” tab under “Security Groups”. Refer the Enabling access section for more details.
Attribute tab
Click the “Attribute” tab at the bottom of the “Summary” page to view the number and the attributes discovered.
Click the document under “Documents” chart. This displays the number of attributes processed from the document.
Click the filter icon on the report “Attribute” page. This allows to select specific attributes from the list.
Select the attribute(s) from the list. The visuals on the page will be displayed as per the selected attribute(s).
Click “Clear Selections” if you want to remove all the filters and view all the attributes and documents.
In the Document URL column, click the icon next to a document (for example, “Retail MSA 1.pdf”). The attribute discovery side-by-side view opens in a new tab in read-only mode.
Clause tab
The Clause tab displays the list of documents processed and the number of clauses discovered.
Along with the main agreement document, an agreement consists of several supporting documents such as rate tables, SLAs, product specifications, schedules, annexures and so on. Amendments help contract administrators to understand the in-force clauses at different points during the agreement execution journey. Thus, while analyzing an agreement, it is important to consider these additional documents too to get the holistic insights.
In this view, the AI Studio functionality has now been extended within the agreement to provide a holistic understanding of its different aspects. Users can now select all the peer, parent-child type of associations or amendments of agreement and run an AI Studio batch to derive results as a visual summary. The detailed analysis option within the results offers a deep dive into individual documents so as to understand them better.
ICI now provides the options to:
Go to agreement Details page.
Click “Document List” tab on the left navigation pane. The Document List search grid opens. It will display the agreement along with its associations and amendments which contain documents.
Select the checkbox for one or more documents. The “AI Analysis” button is enabled.
Click the “AI Analysis” button. The “New Analysis” dialog box is displayed.
The agreement name is pre-populated by default in the batch “Name” field. Type a new name for the batch if required.
Select the “AI Model” from the dropdown. For example, “DiscoverAI Standard”.
Click “Analyze”. A new AI Studio batch will be created the analysis will start, and the AI Discovery Progress will be displayed.
Once the Discovery is completed, the “View Report” and “Download” icons will be enabled.
Click on the “Download” icon to download the discovery result in Excel format.
The downloaded Excel displays different sheets:
Click “View Report”. The “AI Studio Report for Documents in ICI” for the discovered results opens in a new tab.
The report displays different sections for all discovered entities.
Similar to steps mentioned in “Viewing the AI Studio Report”, users can apply filters for each of the discoveries.
Users can click on “Document URL” link for each of the entities to navigate to the ICI side-by-side view and review the discovered entity details.
Editing Attributes
Click on the link for the “I/E association” record. The attributes discovered for that association are displayed.
Click “Edit”. The side-by-side discovery view for the attributes discovered in the associated document opens in a new page.
Review the attribute values from the suggestions as desired. For example, select “Alpha Inc” to replace the discovered value “Company”.
Click “Accept” to save the selected value to the attribute.
Click “Update” to save all changes back to the associated document.
Editing Table Discovery
1. Click the “Tables” tab. The table(s) discovered for the associated document are displayed.
The tables with discovered values are displayed.
2. Make changes as required. For example, select the desired values and type column names.
3. Click “Save Changes”.
4.Once all changes are saved, click “Finish”. A success message is displayed.
The edited details are saved and displayed on the association Details page.
DiscoverAI performance for scanned pdf documents was not optimal. It was time-consuming, had less than accurate OCR output for tilted pages and did not recognize handwritten text, which was a concern for users.
Discover AI now adopts an improved OCR technology. It has improved the time taken to complete the discovery for scanned pdfs significantly. In some cases, the time taken was just 1/10 of time taken previously. Additionally, with this technology, the content in the slightly tilted scanned images can be recognized correctly. Moreover, it can now identify the handwritten text in English language.
Related Topics: Agreement Management | Obligation Management | Managing US Federal Contracts using ICI | Contract Digitalization | NegotiateAI | ObligationAI | VisualizeAI
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