Text contract auditing and evaluating system based on artificial intelligence

Abstract

The invention discloses a text contract auditing and evaluating system based on artificial intelligence, and relates to the technical field of text contract processing. The contract auditing unit is used for collecting massive text contract templates in a first target and conducting classification according to titles of the contract templates, the text contract auditing and evaluating system based on artificial intelligence has the advantages that the massive text contract templates are collected, invalid contracts are deleted, the subsequent data processing time is shortened, and the efficiency is improved. And the text contract template is subjected to classified scanning and progressive auditing, so that targeted prompting can be performed for high-quality contracts, further data prompting can be performed for non-high-quality contracts, and the accuracy of text contract auditing and evaluation can be ensured while an efficient text contract auditing and evaluation process is ensured; in cooperation with the retrieval process of contract supplementation, manual input time can be saved, more accurate template type texts can be provided, and the text contract auditing and evaluating progress is accelerated.

Description

Technical Field

[0001] The present invention relates to the technical field of text contract processing, and in particular to a text contract review and evaluation system based on artificial intelligence. Background Art

[0002] With the continuous development of society, various commercial transactions are becoming more and more frequent. In order to promote the transaction, it is necessary to use contracts to constrain the transaction. In order to safeguard the legitimate rights and interests of the parties to the contract, it is necessary to conduct an effective review of the contract before signing it.

[0003] Referring to a Chinese patent, a contract review method, device, storage medium and computer equipment (Announcement No.: CN118096059A) This patent generates contracts by using contract generation templates, which can realize the automatic generation of contracts, improve the efficiency and accuracy of contract generation, and eliminate the tedious process of manually writing contracts. At the same time, by extracting key information and assessing contract risks from contract texts and additional texts, it can help contract reviewers better understand the content and risks of contracts, avoid time wasted by contract reviewers paying too much attention to useless content in the contract, thereby improving the review efficiency and accuracy of contracts. In addition, the present invention can manage the entire life cycle of contracts from contract generation to review, avoid omissions and delays in contract management, and ensure that contracts can be processed in a timely manner.

[0004] However, the existing text contract review mostly relies on manual review. If the manual review relies on solid legal knowledge, the text contract can be effectively reviewed. However, it can also be seen that the professional knowledge limitations of manual review and the large amount of time required for manual review. Although the existing technology generates contracts by utilizing contract generation templates, this type of template contract has limitations when used. In particular, for customers who are bound by specific contracts, the main body of the contract text cannot be changed, and problems can only be found in the original contract. In addition, the manual entry of the parts that need to be supplemented in the contract requires strong voice organization capabilities, and the risk prompts lack synchronization with the review of the text contract. For this reason, the present invention proposes an artificial intelligence-based text contract review and evaluation system to solve the above-mentioned problems. Summary of the invention

[0005] 1. Technical issues to be resolved

[0006] In view of the deficiencies in the prior art, the present invention provides an artificial intelligence-based text contract review and evaluation system, which solves the problems mentioned in the above background technology.

[0007] (II) Technical solution

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions: a text contract review and evaluation system based on artificial intelligence, comprising:

[0009] Contract review unit: collects a large number of text contract templates in the first target, and classifies them according to the titles of the contract templates. After the first target scans the second target, the review status of the second target is prompted, wherein the first target is specifically a text contract processing system, and the second target is a text contract to be reviewed;

[0010] Contract supplementation unit: inserting a title into the displayed text of the second target, using the title as the search content in the first target, so that a number of terms are displayed in the first target and automatically supplemented into the second target after selection;

[0011] Contract evaluation unit: After determining the audit results of the second goal and the first goal, the proportion of the part that needs to be adjusted is rated and the risks of the text contract are prompted.

[0012] As an improved technical solution, in the contract review unit, after the first target scans the second target, a specific method for prompting the review status of the second target is:

[0013] S1: First, a large number of text contract templates are marked as Hj, where j is the serial number of the text contract template, and then the large number of text contract templates Hj are divided into n categories, and each category of text contract templates is recorded as nHj. After data optimization of the text contract template nHj, the text contract to be reviewed is recorded as SD. In the text contract processing system, the text contract SD to be reviewed is scanned;

[0014] S2: At this time, the text contract SD to be reviewed is compared with the optimized text contract template nHj, and the parts that are increased and / or decreased compared with the text contract template nHj are marked on the text contract SD to be reviewed. If there are one or more increased and / or decreased parts, they are all marked with a color that distinguishes the text contract SD.

[0015] As an improved technical solution, the specific method of optimizing the data of the text contract template nHj in S1 is:

[0016] S11: firstly, a standard contract specification vocabulary is established and marked as BZ, the vocabulary BZ is used as a preliminary template for standard contract review, the text contract template nHj is scanned, the text contract template nHj in which all the vocabulary BZ appear is marked as a standard template, and the text contract template nHj in which all the vocabulary BZ do not appear is marked as a non-standard template, and the non-standard template is deleted;

[0017] S12: Then set the high-quality contract standard vocabulary and mark it as YZ, scan the retained standard templates nHj, mark the text contract templates nHj that have at least one occurrence of the vocabulary YZ as high-quality templates, and mark the text contract templates nHj that do not have the vocabulary BZ as non-high-quality templates. The high-quality templates and non-high-quality templates are retained in a differentiated manner.

[0018] As an improved technical solution, when the high-quality templates and non-high-quality templates are retained in a differentiated manner in S12, they are differentiated by creating separate folders for storage and are marked separately in the folder names.

[0019] As an improved technical solution, the specific method of marking the increased and / or decreased parts compared with the text contract template nHj on the text contract SD to be reviewed in S2 is:

[0020] S21: First, determine the category of the text contract SD to be reviewed based on its title, and then perform a targeted comparison based on its category. At this time, the high-quality template is first compared with the text contract SD to be reviewed, and the parts that are added or reduced in the text contract SD to be reviewed are marked. After review, the position of the revision cannot be marked again;

[0021] S22: The reviewed text contract SD is then compared with the non-high-quality template, and the increased and / or decreased parts in the text contract SD are marked, and a second review is performed based on the marks, so as to finally obtain the reviewed text contract.

[0022] As an improved technical solution, the specific method of displaying several terms in the first target in the contract supplement unit and automatically supplementing them in the second target after selection is as follows:

[0023] P1: Insert the title HK into the displayed text of the contract SD to be reviewed, search the content with HK, and display all entries related to the title HK in the premium template and non-premium template. If you review and add directly, click on the entry related to the title HK, and the entry related to the title HK will be automatically added to the contract SD to be reviewed;

[0024] P2: When the entries related to the title HK cannot be reviewed and added directly, continue to enter the word GH in the title HK content in the displayed content, further search for the word GH in the entries related to the title HK, and display the related entries of the word GH. Click on the entry, and the related entry will be automatically added to the text contract SD to be reviewed.

[0025] As an improved technical solution, when the entries related to the title HK are clicked in P1 and the entries related to the title HK are automatically added to the text contract SD to be reviewed, if the added content is more than one place, the operation is performed twice or more in the order of the first addition.

[0026] As an improved technical solution, the contract evaluation unit rates the proportion of the part that needs to be adjusted. When the risk of the text contract is prompted, the greater the proportion of the part that needs to be adjusted, the higher the risk prompt of the text contract. It is specifically divided into first-level risk, second-level risk and third-level risk from high to low.

[0027] As an improved technical solution, when the proportion of parts that need to be adjusted in the contract evaluation unit is larger and the risk warning of the text contract is higher, special entries are set. When the special entries are missing in the text contract, the first-level risk is directly prompted.

[0028] (III) Beneficial effects

[0029] The present invention provides a text contract review and evaluation system based on artificial intelligence. Compared with the prior art, it has the following beneficial effects:

[0030] This AI-based text contract review and evaluation system collects massive amounts of text contract templates and deletes invalid contracts, reducing the time for subsequent data processing. It also classifies and scans text contract templates and performs progressive review, which can provide both targeted prompts for high-quality contracts and further data prompts for non-high-quality contracts. It ensures an efficient text contract review and evaluation process while also ensuring the accuracy of the text contract review and evaluation. In conjunction with the contract supplement retrieval process, it can save manual input time and provide more accurate template text, speeding up the progress of text contract review and evaluation. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 A block diagram of an artificial intelligence-based text contract review and evaluation system according to an embodiment of the present application;

[0032] Figure 2 This is a schematic diagram of the structure of an electronic device shown in an embodiment of the present application. DETAILED DESCRIPTION

[0033] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0034] See also Figure 1-Figure 2 , the embodiment of the present invention provides four technical solutions:

[0035] Embodiment 1

[0036] The text contract review and evaluation system based on artificial intelligence includes:

[0037] Contract review unit: collects a large number of text contract templates in the first target and classifies them according to the titles of the contract templates. After the first target scans the second target, the review status of the second target is prompted. The first target is specifically a text contract processing system, and the second target is a text contract to be reviewed.

[0038] In the contract review unit, after the first target scans the second target, the specific method of prompting the review status of the second target is:

[0039] S1: First, a large number of text contract templates are marked as Hj, where j is the serial number of the text contract template, and then the large number of text contract templates Hj are divided into n categories, and each category of text contract templates is recorded as nHj. After data optimization of the text contract template nHj, the text contract to be reviewed is recorded as SD. In the text contract processing system, the text contract SD to be reviewed is scanned;

[0040] Combined with specific examples for analysis, taking 10,000 massive text contract templates as an example, the 10,000 text contract templates are divided into 50 categories, and calculated at 200 copies in each category. The text contracts to be reviewed are scanned among the 10,000 contract templates.

[0041] The specific method of optimizing the data of the text contract template nHj in S1 is:

[0042] S11: First, establish the standard contract normative vocabulary and mark it as BZ, such as time, place, and amount. Use the vocabulary BZ as the preliminary template for standard contract review, scan the text contract template nHj, mark the text contract template nHj that appears all the vocabulary BZ as the normative template, and mark the text contract template nHj that does not appear all the vocabulary BZ as the non-normative template, and delete the non-normative template, so that such invalid contracts can be deleted, reducing the time for subsequent data processing and the interference caused by invalid contracts;

[0043] S12: Then set the high-quality contract standard vocabulary and mark it as YZ, such as supplementary instructions, disclaimers, etc. Scan the retained standard templates nHj, mark the text contract templates nHj that have at least one occurrence of the vocabulary YZ as high-quality templates, and mark the text contract templates nHj that do not have the vocabulary BZ as non-high-quality templates. High-quality templates and non-high-quality templates are retained in a differentiated manner, and valid contracts are further distinguished to facilitate subsequent differentiated scanning. When high-quality templates and non-high-quality templates are retained in a differentiated manner in S12, they are distinguished by creating separate folders for storage and are marked separately in the folder names;

[0044] S2: At this time, the text contract SD to be reviewed is compared with the optimized text contract template nHj, and the parts that are increased and / or decreased compared with the text contract template nHj are marked on the text contract SD to be reviewed. If there are one or more increased and / or decreased parts, they are all marked with a color that distinguishes the text contract SD, such as a red horizontal bar. It should be noted that if there are multiple increased and / or decreased parts in one location, prompts will be given in the order of scanning, and if the number of prompts exceeds 10, the pages can be turned for display.

[0045] The specific method of marking the parts that are increased and / or decreased compared with the text contract template nHj on the text contract SD to be reviewed in S2 is:

[0046] S21: First, determine the category of the text contract SD to be reviewed based on its title, and then perform a targeted comparison based on its category. At this time, the high-quality template is first compared with the text contract SD to be reviewed, and the parts that are added or reduced in the text contract SD to be reviewed are marked. After review, the position of the revision cannot be marked again;

[0047] S22: The reviewed text contract SD is then compared with the non-high-quality template, and the increased and / or decreased parts in the text contract SD are marked, and a second review is performed based on the marks, so as to finally obtain the reviewed text contract.

[0048] Contract supplement unit: insert the title into the displayed text of the second target, use the title as the search content in the first target, so that a number of terms are displayed in the first target and automatically supplemented into the second target after selection;

[0049] The specific method of displaying several terms in the first target and automatically filling them into the second target after selection in the contract filling unit is as follows:

[0050] P1: Insert title HK into the displayed text of the contract SD to be reviewed, search for content with HK, and display all entries related to title HK in the premium template and non-premium template. If you review and add directly at this time, click on the entry related to title HK, and the entry related to title HK will be automatically added to the contract SD to be reviewed; in P1, click on the entry related to title HK, and the entry related to title HK will be automatically added to the contract SD to be reviewed. If there is more than one place to add content, perform the operation twice or more in the order of the first addition;

[0051] P2: When the entries related to the title HK cannot be reviewed and added directly, continue to enter the word GH in the title HK content in the displayed content, further search for the word GH in the entries related to the title HK, and display the related entries of the word GH. Click on the entry, and the related entry will be automatically added to the text contract SD to be reviewed.

[0052] Embodiment 2

[0053] The embodiment is based on the first embodiment, and the difference from the first embodiment is that it further includes: the contract evaluation unit: after determining the audit results of the second target and the first target, rating the proportion of the part that needs to be adjusted, and prompting the risk of the text contract;

[0054] The contract evaluation unit is rated according to the proportion of the parts that need to be adjusted. When the risk of the text contract is prompted, the larger the proportion of the parts that need to be adjusted, the higher the risk prompt of the text contract. From high to low, it is divided into first-level risk, second-level risk and third-level risk; when the proportion of the parts that need to be adjusted in the contract evaluation unit is larger, the risk prompt of the text contract is higher, and special entries are set. When the special entries are missing in the text contract, the first-level risk will be directly prompted.

[0055] Embodiment 3

[0056] This embodiment is based on the first and second embodiments, and the difference from the first and second embodiments is that it also includes a contract memory unit: memorizes the text contract input for the first time, and when the same contract is recognized and scanned for the second time, directly prompts the difference between the text contract input for the first time and the text contract input for the second time or multiple times, wherein the identification of the same contract specifically means that both parties A and B of the two text contracts are consistent, and the similarity is above 90-95%. The purpose of the design is to avoid minor changes in the contract sent twice, and to enhance the rigor of the contract review.

[0057] Embodiment 4

[0058] The text contract review and evaluation system based on artificial intelligence includes:

[0059] Contract review unit: collects a large number of text contract templates in the first target, and classifies them according to the titles of the contract templates. After the first target scans the second target, the review status of the second target is prompted, wherein the first target is specifically a text contract processing system, and the second target is a text contract to be reviewed;

[0060] Contract supplementation unit: inserting a title into the displayed text of the second target, using the title as the search content in the first target, so that a number of terms are displayed in the first target and automatically supplemented into the second target after selection;

[0061] Contract evaluation unit: after determining the audit results of the second target and the first target, the unit will rate the proportion of the part that needs to be adjusted and provide a warning of the risks of the text contract;

[0062] Contract memory unit: memorizes the text contract input for the first time, and when the same contract is identified and scanned for the second time, directly prompts the difference between the text contract input for the first time and the text contract input for the second time or multiple times. The identification of the same contract specifically requires that the text contracts of both parties are consistent and the similarity is above 90-95%;

[0063] Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0064] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0065] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

[0066] Corresponding to the aforementioned application function implementation method embodiment, the present application also provides an electronic device and corresponding embodiments.

[0067] See also Figure 2 , the electronic device 1000 includes a memory 1010 and a processor 1020 .

[0068] The processor 1020 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or the processor may be any conventional processor, etc.

[0069] The memory 1010 may include various types of storage units, such as system memory, read-only memory (ROM), and permanent storage devices. Among them, ROM can store static data or instructions required by the processor 1020 or other modules of the computer. The permanent storage device may be a readable and writable storage device. The permanent storage device may be a non-volatile storage device that does not lose the stored instructions and data even after the computer is powered off. In some embodiments, the permanent storage device uses a large-capacity storage device (such as a magnetic or optical disk, flash memory) as a permanent storage device. In some other embodiments, the permanent storage device may be a removable storage device (such as a floppy disk, optical drive). The system memory may be a readable and writable storage device or a volatile readable and writable storage device, such as a dynamic random access memory. The system memory may store some or all instructions and data required by the processor at run time. In addition, the memory 1010 may include any combination of computer-readable storage media, including various types of semiconductor memory chips (DRAM, SRAM, SDRAM, flash memory, programmable read-only memory), and disks and / or optical disks may also be used. In some embodiments, the memory 1010 may include a readable and / or writable removable storage device, such as a laser disc (CD), a read-only digital versatile disc (such as a DVD-ROM, a double-layer DVD-ROM), a read-only Blu-ray disc, an ultra-density optical disc, a flash memory card (such as an SD card, a mini SD card, a Micro-SD card, etc.), a magnetic floppy disk, etc. The computer-readable storage medium does not include carrier waves and transient electronic signals transmitted wirelessly or wired.

[0070] The memory 1010 stores executable codes, and when the executable codes are processed by the processor 1020 , the processor 1020 can execute part or all of the methods described above.

[0071] The scheme of the present application has been described in detail above with reference to the accompanying drawings. In the above embodiments, the description of each embodiment has its own emphasis. For the part that is not described in detail in a certain embodiment, refer to the relevant description of other embodiments. Those skilled in the art should also know that the actions and modules involved in the description are not necessarily required for the present application. In addition, it can be understood that the steps in the method of the embodiment of the present application can be adjusted in order, merged and deleted according to actual needs, and the modules in the device of the embodiment of the present application can be merged, divided and deleted according to actual needs.

[0072] In addition, the method according to the present application may also be implemented as a computer program or a computer program product, which includes computer program code instructions for executing some or all of the steps in the above method of the present application.

[0073] Alternatively, the present application can also be implemented as a non-temporary machine-readable storage medium (or computer-readable storage medium, or machine-readable storage medium) on which executable code (or computer program, or computer instruction code) is stored. When the executable code (or computer program, or computer instruction code) is executed by a processor of an electronic device (or electronic device, server, etc.), the processor executes part or all of the steps of the above-mentioned method according to the present application.

[0074] Those skilled in the art will further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the application herein may be implemented as electronic hardware, computer software, or combinations of both.

[0075] The flow chart and block diagram in the accompanying drawings show the possible architecture, function and operation of the system and method according to multiple embodiments of the present application. In this regard, each square box in the flow chart or block diagram can represent a part of a module, a program segment or a code, and the part of the module, the program segment or the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two continuous square boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or the flow chart, and the combination of the square boxes in the block diagram and / or the flow chart can be implemented with a dedicated hardware-based system that performs the specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0076] The embodiments of the present application have been described above, and the above description is exemplary, not exhaustive, and is not limited to the disclosed embodiments. Many modifications and changes will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The selection of terms used herein is intended to best explain the principles of the embodiments, practical applications, or improvements to the technology in the market, or to enable other persons of ordinary skill in the art to understand the embodiments disclosed herein.

Claims

1. The text contract review and evaluation system based on artificial intelligence is characterized by: include: Contract review unit: collects a large number of text contract templates in the first target, and classifies them according to the titles of the contract templates. After the first target scans the second target, the review status of the second target is prompted, wherein the first target is specifically a text contract processing system, and the second target is a text contract to be reviewed; Contract supplementation unit: inserting a title into the displayed text of the second target, using the title as the search content in the first target, so that a number of terms are displayed in the first target and automatically supplemented into the second target after selection; Contract evaluation unit: After determining the audit results of the second goal and the first goal, the proportion of the part that needs to be adjusted is rated and the risks of the text contract are prompted.

2. The artificial intelligence-based text contract review and evaluation system according to claim 1 is characterized by: After the first target scans the second target in the contract review unit, the specific method of prompting the review status of the second target is: S1: First, a large number of text contract templates are marked as Hj, where j is the serial number of the text contract template, and then the large number of text contract templates Hj are divided into n categories, and each category of text contract templates is recorded as nHj. After data optimization of the text contract template nHj, the text contract to be reviewed is recorded as SD. In the text contract processing system, the text contract SD to be reviewed is scanned; S2: At this time, the text contract SD to be reviewed is compared with the optimized text contract template nHj, and the parts that are increased and / or decreased compared with the text contract template nHj are marked on the text contract SD to be reviewed. If there are one or more increased and / or decreased parts, they are all marked with a color that distinguishes the text contract SD.

3. The text contract review and evaluation system based on artificial intelligence according to claim 1 is characterized in that: The specific method of optimizing the data of the text contract template nHj in S1 is: S11: firstly, a standard contract specification vocabulary is established and marked as BZ, the vocabulary BZ is used as a preliminary template for standard contract review, the text contract template nHj is scanned, the text contract template nHj in which all the vocabulary BZ appear is marked as a standard template, and the text contract template nHj in which all the vocabulary BZ do not appear is marked as a non-standard template, and the non-standard template is deleted; S12: Then set the high-quality contract standard vocabulary and mark it as YZ, scan the retained standard templates nHj, mark the text contract templates nHj that have at least one occurrence of the vocabulary YZ as high-quality templates, and mark the text contract templates nHj that do not have the vocabulary BZ as non-high-quality templates. The high-quality templates and non-high-quality templates are retained in a differentiated manner.

4. The artificial intelligence-based text contract review and evaluation system according to claim 3 is characterized by: When the high-quality templates and the non-high-quality templates are retained in a differentiated manner in S12, they are differentiated by creating separate folders for storage, and are marked separately in the folder names.

5. The artificial intelligence-based text contract review and evaluation system according to claim 4 is characterized by: The specific method of marking the increased and / or decreased parts compared with the text contract template nHj on the text contract SD to be reviewed in S2 is: S21: First, determine the category of the text contract SD to be reviewed based on its title, and then perform a targeted comparison based on its category. At this time, the high-quality template is first compared with the text contract SD to be reviewed, and the parts that are added or reduced in the text contract SD to be reviewed are marked. After review, the position of the revision cannot be marked again; S22: The reviewed text contract SD is then compared with the non-high-quality template, and the increased and / or decreased parts in the text contract SD are marked, and a second review is performed based on the marks, so as to finally obtain the reviewed text contract.

6. The artificial intelligence-based text contract review and evaluation system according to claim 5 is characterized by: The specific method of displaying a plurality of terms in the first target in the contract supplementation unit and automatically supplementing them into the second target after selection is as follows: P1: Insert the title HK into the displayed text of the contract SD to be reviewed, search the content with HK, and display all entries related to the title HK in the premium template and non-premium template. If you review and add directly, click on the entry related to the title HK, and the entry related to the title HK will be automatically added to the contract SD to be reviewed; P2: When the entries related to the title HK cannot be reviewed and added directly, continue to enter the word GH in the title HK content in the displayed content, further search for the word GH in the entries related to the title HK, and display the related entries of the word GH. Click on the entry, and the related entry will be automatically added to the text contract SD to be reviewed.

7. The artificial intelligence-based text contract review and evaluation system according to claim 6 is characterized by: When the entries related to the title HK are clicked in P1 and the entries related to the title HK are automatically added into the text contract SD to be reviewed, if there is more than one added content, the operation is performed twice or more in the order of the first addition.

8. The artificial intelligence-based text contract review and evaluation system according to claim 1 is characterized by: The contract evaluation unit is rated according to the proportion of the part that needs to be adjusted. When the risk of the text contract is prompted, the greater the proportion of the part that needs to be adjusted, the higher the risk prompt of the text contract. It is specifically divided into first-level risk, second-level risk and third-level risk from high to low.

9. The artificial intelligence-based text contract review and evaluation system according to claim 8, characterized in that: The larger the proportion of parts that need to be adjusted in the contract evaluation unit, the higher the risk warning of the text contract. Special terms are set. When special terms are missing in the text contract, the first-level risk is directly prompted.

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