CN111369397A - Evidence collection suggestion generation system and method for legal consultation - Google Patents
Evidence collection suggestion generation system and method for legal consultation Download PDFInfo
- Publication number
- CN111369397A CN111369397A CN202010132139.7A CN202010132139A CN111369397A CN 111369397 A CN111369397 A CN 111369397A CN 202010132139 A CN202010132139 A CN 202010132139A CN 111369397 A CN111369397 A CN 111369397A
- Authority
- CN
- China
- Prior art keywords
- evidence
- information
- collected
- time
- user
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 34
- 238000004458 analytical method Methods 0.000 claims abstract description 17
- 238000004806 packaging method and process Methods 0.000 claims abstract description 10
- 238000012545 processing Methods 0.000 claims description 11
- 238000005457 optimization Methods 0.000 claims description 6
- 230000002457 bidirectional effect Effects 0.000 abstract description 4
- 239000004576 sand Substances 0.000 description 32
- 239000011435 rock Substances 0.000 description 8
- 239000004575 stone Substances 0.000 description 4
- 206010039203 Road traffic accident Diseases 0.000 description 3
- 239000013589 supplement Substances 0.000 description 3
- 238000007405 data analysis Methods 0.000 description 2
- 235000013399 edible fruits Nutrition 0.000 description 2
- 238000011156 evaluation Methods 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000032258 transport Effects 0.000 description 2
- 230000006835 compression Effects 0.000 description 1
- 238000007906 compression Methods 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 238000012217 deletion Methods 0.000 description 1
- 230000037430 deletion Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 238000012502 risk assessment Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/18—Legal services
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/21—Design, administration or maintenance of databases
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/60—Protecting data
- G06F21/62—Protecting access to data via a platform, e.g. using keys or access control rules
- G06F21/6218—Protecting access to data via a platform, e.g. using keys or access control rules to a system of files or objects, e.g. local or distributed file system or database
- G06F21/6245—Protecting personal data, e.g. for financial or medical purposes
- G06F21/6254—Protecting personal data, e.g. for financial or medical purposes by anonymising data, e.g. decorrelating personal data from the owner's identification
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- Health & Medical Sciences (AREA)
- Databases & Information Systems (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Tourism & Hospitality (AREA)
- Bioethics (AREA)
- General Business, Economics & Management (AREA)
- Strategic Management (AREA)
- Primary Health Care (AREA)
- Marketing (AREA)
- Human Resources & Organizations (AREA)
- Medical Informatics (AREA)
- Economics (AREA)
- Computer Hardware Design (AREA)
- Computer Security & Cryptography (AREA)
- Software Systems (AREA)
- Technology Law (AREA)
- Data Mining & Analysis (AREA)
- Financial Or Insurance-Related Operations Such As Payment And Settlement (AREA)
Abstract
The invention relates to the technical field of legal services, in particular to an evidence collection suggestion generation system and method for legal consultation, which comprises the following steps: s1, uploading basic information of the case by the user; s2, sending guide information of the first evidence collection; s3, carrying out first evidence collection and uploading the first collected evidence to the system; s4, analyzing the evidence collected for the first time, and generating a reply suggestion according to the analysis result; s5, after receiving the reply suggestion, the user determines whether to carry out the second evidence collection according to the reply suggestion; s6, if the system receives the reply information without the second evidence collection, the first collected evidence is packaged and stored; and if the evidence collected for the second time is received, packaging and storing the evidence collected for the two times. Compared with the prior art, the method and the device have the advantages that the guidance for the user to collect the evidence is bidirectional, so that the evidence collected by the user can be continuously corrected, and the evidence collected by the user is as comprehensive and complete as possible.
Description
Technical Field
The invention relates to the technical field of legal services, in particular to an evidence collection suggestion generation system and method for legal consultation.
Background
With the increase of legal consciousness of people, when problems or disputes occur, legal weapons are tried to be picked up to maintain the legal rights and interests of the people. However, since people are only vaguely legally aware and do not know the specific legal rules and the corresponding evidence-taking responsibilities, no effective measures are usually taken to collect evidence in the first instance or the best evidence-taking opportunities are missed. Therefore, it is necessary to provide corresponding suggestions or guidance for evidence collection of people.
The document CN105206059B discloses a system and a method for collecting and guiding evidence of a traffic accident scene, which includes: the user uses the mobile terminal to complete the blank information in the accident list, wherein the accident list comprises an accident ID, the accident occurrence place (GPS information), time, accident type, the number of participants and license plate number; after the accident list is generated, the system starts an accident evidence obtaining module, and calls a corresponding evidence obtaining sub-module according to the accident type and the number of participants in the accident list to guide a user to obtain evidence and shoot; after shooting is finished, a user can record additional recording according to the field condition; and finally, packaging the accident list, the image and the audio as an evidence compression packet, sending the evidence to a server, storing the evidence by the server, and waiting for acceptance. The invention takes the mobile phone of the user as the image or video acquisition equipment, and the accident vehicle owner autonomously takes the shooting and evidence-obtaining, thereby simplifying the evidence-obtaining procedure of the slight traffic accident, realizing the rapid and efficient self-evidence-obtaining process and facilitating the rapid claim settlement of insurance companies or related departments.
In the prior art, the guidance for field evidence collection is unidirectional rather than bidirectional, and thus collected evidence may not be comprehensive enough. For example, according to the system and the method for collecting and guiding the evidence of the traffic accident scene disclosed in CN105206059B, after the user uploads the accident ticket, the system guides the user to collect the evidence, and finally encapsulates the evidence and sends the evidence to the server for storage. It can be seen that a feedback, correction process is missing. For example, before the system packages the evidence, the system performs inspection, and if the evidence does not meet the preset requirement, the system prompts the user to continue to collect the evidence; and packaging and sending the evidence to a server for storage after the evidence meets the preset requirement.
Disclosure of Invention
The invention provides an evidence collection suggestion generation method for legal consultation, and solves the technical problem that collected evidence is not comprehensive enough due to unidirectional guidance of evidence collection in the prior art.
The basic scheme provided by the invention is an evidence collection suggestion generation method for legal consultation, which comprises the following steps:
s1, uploading basic information of the case by the user;
s2, the system sends the guide information of the first evidence collection to the user according to the basic information of the case;
s3, the user collects the first evidence according to the guidance information and uploads the first collected evidence to the system;
s4, analyzing the evidence acquired for the first time by the system, generating a reply suggestion according to the analysis result, and sending the reply suggestion to the user;
s5, after receiving the reply suggestion, the user determines whether to carry out the second evidence collection according to the reply suggestion; if the user decides not to perform the second evidence collection, uploading the reply information which does not perform the second evidence collection; if the user decides to perform the second evidence collection, uploading the second collected evidence;
s6, if the system receives the reply information without the second evidence collection, the first collected evidence is packaged and stored; and if the evidence collected for the second time is received, packaging and storing the evidence collected for the first time and the evidence collected for the second time.
The working principle of the invention is as follows: and sending guidance information for first evidence collection according to the case type of the user, and analyzing the first collected evidence by the system after the user collects the first evidence. If the analysis result shows that the evidence collected by the user can prove the basic fact of the case, generating a reply suggestion which does not need to carry out the second evidence collection; if the analysis result shows that the evidence collected by the user can not prove the basic fact of the case, a reply suggestion that a second evidence collection is needed is generated. And after receiving the reply suggestion, the user decides whether to perform the second evidence collection. The invention has the advantages that: the evidence collected by the user for the first time can be corrected, so that the evidence collected by the user is as comprehensive and complete as possible.
Compared with the prior art, the method and the device have the advantages that the guidance for the user to collect the evidence is bidirectional, so that the evidence collected by the user can be continuously corrected, and the evidence collected by the user is as comprehensive and complete as possible.
Further, step S7 is included to obfuscate the information in the evidence relating to the privacy of the party and the identity of the witness. The privacy information of the party is subjected to fuzzy processing, so that the privacy of the party is protected; the information of the identity of the witness is subjected to fuzzy processing, so that worries about the witness in the back of the witness are reduced, and the enthusiasm of the witness in the witness is improved.
Further, step S8, collecting basic information, guidance information, evidence collected for the first time and evidence collected for the second time, and establishing a database in groups; each group of data comprises in sequence: basic information of the case, guiding information, evidence collected for the first time and data of evidence collected for the second time. Therefore, a huge database is convenient to establish, and original data are provided for big data analysis and system optimization.
Further, step S9 is included, in which the data in the database created in groups is analyzed, and the difference between the first collected evidence and the second collected evidence is compared, so as to optimize the system. The system is optimized by using the collected mass data, so that the accuracy of the system in analyzing the evidence can be improved, and more effective suggestions are provided for users.
Further, step S2 specifically includes: s21, determining the corresponding case type according to the basic information; s22, inquiring guide information in the database according to case types: if the database has corresponding and unique guide information, the guide information is directly sent to the user; if the database has corresponding, two or more pieces of guidance information, comparing the guidance information, selecting the most matched guidance information and sending the most matched guidance information to the user; and if the database does not have corresponding guide information, selecting the guide information with the highest sending frequency from the recorded historical sending data. Different cases have different specific types and specific requirements on the evidence, and different pieces of guidance information for collecting the evidence must be sent to the different cases, so that the evidence can be collected by the user in a targeted manner. In addition, since cases in real life are various, there is a high possibility that the guidance information in the database is not accurate or complete, and it is necessary to perform different processing for different situations, thereby improving efficiency.
Further, step S4 specifically includes: s41, extracting time information and position information in the evidence data; s42, generating an evidence chain according to the time information and the position information of the evidence data; s43, generating a reply suggestion according to the evidence chain; and S44, sending a reply suggestion. The evidence chain is a series of proving chains formed by objective facts and objects and can completely prove the process of case occurrence. If the evidence collected by the user can form a complete evidence chain, which shows that the evidence can completely prove the process of case occurrence, the collected evidence does not need to be supplemented again; if the evidence collected by the user cannot form a complete evidence chain, which indicates that the evidence cannot completely prove the process of the case occurrence, the collected evidence needs to be supplemented again. Therefore, the reply suggestion is generated according to the evidence chain, so that the evidence collected by the user can be as comprehensive and complete as possible.
The invention also provides an evidence collection suggestion generation system for legal consultation, which comprises: the input module is used for uploading basic information of a case, evidence collected for the first time and evidence collected for the second time by a user; the guiding module is used for sending guiding information for collecting evidence for the first time to the user according to the basic information of the case; the analysis module is used for analyzing the evidence acquired for the first time, generating a reply suggestion according to an analysis result and sending the reply suggestion to a user; and the storage module is used for packaging and storing the evidence acquired for the first time and the evidence acquired for the second time.
The invention can correct the evidence collected by the user for the first time, and the guidance for the user to collect the evidence is bidirectional. Therefore, the evidence collected by the user can be continuously corrected, so that the evidence collected by the user is as comprehensive and complete as possible.
Further, the system comprises a privacy module which is used for carrying out fuzzy processing on information related to the privacy of the party and the identity of the witness in the evidence. The privacy information is subjected to fuzzy processing, so that the privacy of the parties is protected, worries of the witnesses after the witnesses are certified are reduced, and the enthusiasm of the witnesses in the certification is improved.
The system further comprises a data module, a database and a data processing module, wherein the data module is used for collecting basic information, guidance information, evidence collected for the first time and evidence collected for the second time of the case and establishing a database in groups; each group of data comprises in sequence: basic information of the case, guiding information, evidence collected for the first time and data of evidence collected for the second time. Therefore, a database is convenient to establish, and data of a large sample is provided for large data analysis and system optimization.
And the optimization module is used for analyzing the data in the database, comparing the difference between the evidence acquired for the first time and the evidence acquired for the second time and optimizing the system. Therefore, the accuracy of the system for evidence analysis can be improved, and more effective suggestions can be given to the user.
Drawings
Fig. 1 is a flowchart of an embodiment of an evidence collection suggestion generation method for legal consultation according to the present invention.
Fig. 2 is a block diagram of the system structure of an embodiment of the evidence collection suggestion generation system for legal consultation according to the present invention.
Detailed Description
The following is further detailed by the specific embodiments:
example 1
The embodiment of the evidence collection suggestion generation method for legal consultation is basically as shown in the attached figure 1: the method comprises the following steps: s1, uploading basic information of the case by the user; s2, sending guide information for first evidence collection; s3, carrying out first evidence collection and uploading the collected evidence; s4, analyzing the evidence collected for the first time to generate a reply suggestion; s5, determining whether to collect evidence for the second time according to the reply suggestion; and S6, packaging and storing the evidence of the first acquisition or the second acquisition.
In this embodiment, there is a contractual dispute between zhang san and lie si. The contents are roughly as follows: "… Zhang III buys 5 tons of river sand from Li IV in 1/6/2010, signs a contract for buying and selling river sand on the same day, contracts to deliver the quality and quantity of river sand to the stone dam of Zhang III within 15 days, and pays once when Zhang III receives river sand. And on 16 days 6 and 2010, when the fourth Li moves the river sand to a rock dam nearby Zhang III, Zhang III is required to pay the price of the river sand by 2 ten thousand yuan. The three-in-one table shows that no money exists temporarily, 2 ten thousand yuan of debt is willing to be delivered to the four-in-one table, the 6-month bottom is shown to pay out the debt, interest is paid according to the bank contemporaneous interest rate in the period, and the four-in-one table shows agreement. In 2010, 7 months and 1 day, the four-in-plum hand holds the debt to the place with three Zhang places, and the debt and interest are required to be paid. Three years show business loss till now, no profit can be paid, and 6 months and 28 days borrow 4 ten thousand yuan with king five, and show the borrow in the plum four views. Li IV shows that Zhang III is suspicious of being tied up and is informed that the recording and video recording are carried out by a mobile phone when Zhang III signs a contract and a debt. Zhang Sanjian, shows immediate money but requires a three-day preparation … "
In contrast, lie iv decides to withdraw the price of river sand by legal means, and makes legal consultations to prepare to collect evidence in advance. Therefore, li four uploads the content of the dispute with the river sand buying and selling contract of zhang san to the system through the client, and the uploading mode can be through voice, through characters, or directly inputting word.
It can be seen that the content of the river sand buying and selling contract dispute includes basic information of the parties (zhang san, lie si), the target (zhang san pay price, lie si deliver river sand), the quality (which is not agreed in the contract and should be a common standard according to the relevant provisions of the contract law and can meet the common building use), the price (2 ten thousand yuan), the fulfillment time (within 15 days), the fulfillment place (stone dam near zhang san). The system firstly determines the corresponding case type according to the basic information; then inquiring guide information in a database according to case types: if the database has corresponding and unique guide information, the guide information is directly sent to the user; if the database has corresponding, two or more pieces of guidance information, comparing the guidance information, selecting the most matched guidance information and sending the most matched guidance information to the user; and if the database does not have corresponding guide information, selecting the guide information with the highest sending frequency from the recorded historical sending data.
The system can judge that the dispute is a trade contract dispute according to the basic information, and then sends guidance information for collecting the evidence for the first time to the fourth plum according to the characteristics of the trade contract dispute, wherein the guidance information comprises the type of the evidence to be collected and a corresponding collection mode. For example, the specific content of the guidance information is as follows:
"for information provided by you, determine as a trade contract dispute, evidence that you need to collect and a corresponding mode are as follows:
① contract text, invoice, debt, borrow, collecting original and copy, and copying, scanning, and taking pictures;
② certificate of witness, collecting voice, video, or certificate text signed by witness;
③ electronic evidence such as WeChat, QQ, and call record, which can be used for screen capture or data recording to compact disc;
④ recording, such as dialogue recording and negotiation recording, can be stored in mobile phone, flash disk, or recorded in compact disk;
……”
the system sends the guide information to the Li IV in a text or voice mode, and after the Li IV receives the guide information, the first evidence collection is carried out according to the prompt of the guide information. For example, the contract signed by the mobile phone on 6/1/2010 and each page of the debt issued by the mobile phone on 16/2010; the method comprises the steps of capturing a screen of a text part of a chat record related to river sand buying and selling communicated with Zhang III in WeChat in the early stage, and recording a voice part; after the evidence of recording and video … recorded by the mobile phone when the contract and the debt are stored is collected, the evidence is uploaded to the system.
After the system receives the evidence uploaded by the Liqu, the evidence is analyzed. Firstly, extracting time information and position information of the evidence data; and then, the evidence data is subjected to serial connection processing according to the time information and the position information of the evidence data, and the evidence is arranged according to the proof force to form an evidence chain. For example, a river sand buying and selling contract (with contract text proofed) is signed on day 6 and 1 in 2010 for transporting river sand to a rock dam near three families in year 6 and 16 in 2010 (without evidence proofed), Zusanli provides a debt (with debt and recording proofed) for approving three-way king five borrowing on day 6 and 28 in 2010 (without evidence proofed) for approving three-way payment in day 7 and 1 in 2010 for seeking three places in year 7 and 6 and recording proofed) … show that the evidence chain 'transporting river sand to a rock dam near three families in year 6 and 16 in 2010' and 'three-way king five borrowing on day 6 and 28 in 2010' does not prove the basic fact of the river sand buying and selling contract. Therefore, a reply suggestion is generated according to the analysis result (the evidence chain is incomplete, and the basic fact of the river sand buying and selling contract cannot be proved), and is sent to lie IV, wherein the reply suggestion specifies that the evidence is incomplete, the evidence chain is incomplete, and the person is advised to continue to collect the evidence. On the contrary, in case of complete evidence chain, basic fact of river sand buying and selling contracts can be basically proved, the reply suggestion specifies "is the evidence complete, the evidence chain is complete, do you supplement the collected evidence? If the collected evidence is not supplemented, the evidence data is packaged and stored; and if the evidence is supplemented, uploading the supplemented and collected evidence after the supplement and collection is finished. "
And when the Li IV receives a reply suggestion which states that the evidence is incomplete and the evidence chain is incomplete and suggests that the evidence is continuously collected, determining to collect the second evidence, and uploading the second collected evidence after the collection is finished. For example, since there is no evidence that "li si four in 6 th and 16 th 2010 transports river sand to a rock dam near three families" and "li si in 6 th and 28 th 2010 three-way king five borrowing" is proved, li si finds that seudon six proves that he has transported river sand to a rock dam near three families on 16 th 2010, let seudon six dictate and record with a mobile phone at the same time, or let seudon six write a certificate and sign on the certificate and then take a picture; find wangwu to him to verify that zhang san lent 4 ten thousand yuan on 6/2010 and 28 days, and record … with the cell phone and upload the picture of the certificate of grandchild six, the recording of the dictation of grandchild six, and the recording of wangwu to the system. On the contrary, if the reply suggestion stating that the evidence is incomplete and the evidence chain is incomplete and suggests that the evidence is continuously collected is received by lie four, the second evidence collection is not performed, and the reply information without the second evidence collection is uploaded, for example, "the evidence is completely collected and the second evidence collection is not performed".
After the system receives the shot photos of the certificate of the grandson six, the sound recording of the dictation of the grandson six and the sound recording of the king five, the evidence obtained by the first collection and the evidence obtained by the second collection are arranged together according to the strength of the proof force by adopting the same evidence analysis mode to form an evidence chain. For example, a river sand buying and selling contract (certified by a contract text) is signed on 6.1.2010 year → 6.16.2010 year and river sand is transported to a stone dam nearby three families (certified by a photo of a certificate of six grandson and a recorded sound of a certificate of six grandson), and … is issued by three persons (certified by a debt and a recorded sound) → 6.2010 year and 28.28.16.2010 day and is signed by a recording certificate of five king) → 7.2010 year and 1.2010 day and four persons holding the debt to three persons and requesting payment (certified by a debt and a recorded sound) so that evidence is provided for both the fact that the river sand is transported to the stone dam nearby three families by the 6.2010 year and 16.16.2010 day and the fact that a chain of evidence is complete and the basic fact that the river sand buying and selling contract can be basically certified. Prompting a Liqu by the system, and preparing to package and store the evidence data acquired for the first time and the second time; if the plum agrees, packaging and storing; if the plum four disagrees, prompting the plum four to carry out supplementary acquisition, modification and evidence deletion. Otherwise, if the fourth item of lei does not perform the second evidence collection and uploads the reply information without the second evidence collection, such as "the evidence is completely collected and the second evidence collection is not performed", the system packages and stores the evidence collected for the first time.
Example 2
The only difference from example 1 is that:
the system performs fuzzy processing on information related to the privacy of the party and the identity of the witness in the evidence. For example, the information about the identity of the grandchild six is mosaiced in the photos of the certificate of the grandchild six.
Collecting basic information, guidance information, first collected evidence and second collected evidence of river sand trading contract disputes, and establishing a database in groups; each group of data comprises in sequence: basic information of the case, guiding information, evidence collected for the first time and data of evidence collected for the second time. For example, the format of the river sand trade contract dispute in the database is as follows:
"basic information:
the method comprises the following steps of (1) parties (Zhang three and Li four), targets (Zhang three pays a price and Li four delivers river sand), quality (the contract is not agreed, and the standard is a common standard according to relevant regulations of contract law, and can meet common building use), price (2 ten thousand yuan), fulfillment time (within 15 days), and fulfillment place (a rock dam near Zhang three);
and (3) guidance information:
for the information provided by you, the information is determined as a trade contract dispute, and the evidence and the corresponding mode that you need to collect are as follows:
① contract text, invoice, debt, borrow, collecting original and copy, and copying, scanning, and taking pictures;
② certificate of witness, collecting voice, video, or certificate text signed by witness;
③ electronic evidence such as WeChat, QQ, and call record, which can be used for screen capture or data recording to compact disc;
④ recording, such as dialogue recording and negotiation recording, can be stored in mobile phone, flash disk, or recorded in compact disk;
evidence collected for the first time:
sign a river sand buying and selling contract (with contract text) on 6/1/2010, transport river sand to a rock dam nearby three families on 6/16/2010 (without evidence), issue a debt on three parties (with debt and recording certificate), request payment on three parties on 28/2010 three-way king five borrowing (without evidence certificate) on 6/2010, and ask for payment (with debt and recording certificate) on 7/1/2010, on four parties on the debt and three parties (with debt and recording certificate) …
Evidence collected for the second time:
river sand is transported to a rock dam near three families in 6.16.2010 (photos of a certificate of six grand paragraphs and a recording certificate of a dictation of six grand paragraphs are proved) and is borrowed from 28.28.2010 three-way king five (recording certificate of king five is proved);
……”
and then, analyzing the data in the database established in groups by adopting a machine learning algorithm, comparing the difference between the evidence acquired for the first time and the evidence acquired for the second time, and optimizing the system. Therefore, the accuracy of the system for evidence analysis is improved, and more effective suggestions are provided for users.
Example 3
Based on the method for generating evidence collection advice for legal consultation described in embodiment 2, the present invention further discloses an evidence collection advice generating system for legal consultation, as shown in fig. 2, including: the device comprises an input module, a guidance module, an analysis module, a storage module, a privacy module, a data module and an optimization module.
The input module is used for uploading basic information of a case, evidence collected for the first time and evidence collected for the second time by a user;
the guiding module is used for sending guiding information for collecting evidence for the first time to the user according to the basic information of the case;
the analysis module is used for analyzing the evidence acquired for the first time, generating a reply suggestion according to an analysis result and sending the reply suggestion to a user;
the storage module is used for packaging and storing the first collected evidence and the second collected evidence;
the privacy module is used for carrying out fuzzy processing on information related to the privacy of the party and the identity of the witness in the evidence;
the data module is used for collecting basic information, guidance information, evidence collected for the first time and evidence collected for the second time of the case and establishing a database in groups; each group of data comprises in sequence: basic information, guidance information, evidence collected for the first time and data of evidence collected for the second time of the case;
and the optimization module is used for analyzing the data in the database, comparing the difference between the evidence acquired for the first time and the evidence acquired for the second time, and optimizing the system.
Example 4
The difference from the embodiment 3 is only that the analysis module further comprises a vulnerability unit, a risk unit, a suggestion unit and a learning unit; the vulnerability unit is used for checking whether the evidence chain has a vulnerability or not according to the time difference; sending the vulnerability information to a risk unit; the risk unit is used for receiving the vulnerability information and evaluating whether legal risk exists according to the vulnerability information; and sending the legal risk information to a suggestion unit; the suggestion unit is used for receiving the legal risk information and generating suggestions according to the legal risk information; the learning unit is used for learning the vulnerability inspection, the legal risk information evaluation and the suggestion generation process.
In this embodiment, the vulnerability unit checks a vulnerability in the evidence chain according to the time difference. For example, Liqu means departure at 6 months and 14 days, and river sand is transported to three homes at 6 months and 16 days. However, it usually takes about 3 days for the four plum fruits to carry the river sand to the three quarters, while the four plum fruits take 2 days. And the statement of lie four shows that a bug exists, and the bug unit sends bug information of non-compliance with the time difference to the risk unit. After receiving the vulnerability information, the risk unit evaluates the legal risk, namely that Liqu may not fulfill the obligation of delivering river sand, and sends the risk information to the suggestion unit. And after the suggestion unit receives the risk information, prompting to supplement the relevant evidence. For example, if the new transportation vehicle is replaced by the plum four, the transportation speed is increased; whether the road conditions are congested or not in the period; whether the high-speed toll station has relevant records, and the like. The learning unit learns the vulnerability check, the legal risk information evaluation and the suggestion generation process. For example, the specific value of the time difference is optimized.
The sequence of the proof strength of the electronic proof is "case-specific" and cannot be easily set by a person. For an electronic proof, the fact that a case can be proved may be manifold, and the strength of the proving force may be different for different aspects. For example, for the contract made by zhang san and lie si, the time of making the contract, the party involved in the contract, and the right obligation relationship between zhang san and lie si can be proved. However, the proof strength of the contract on the right obligation relationship between zhang san and lie si is significantly greater than the proof strength on the sign-in time in terms of the strength of the proof strength. This is because the rights obligation relationship is "black and white paper", which reflects the real will of the party in most cases; in practice, the time of contract is often inconsistent with the actual time of contract due to some factors (e.g., convenient financing or loan).
In addition, for one electronic evidence, the fact in a plurality of cases can be proved, but the strength of the proving force can be different for different cases. For example, on the day (day 1/6) when the contract is made by zhang san and lie si, it is difficult to prove that the pen-down date on the contract matches the day. If someone indicates that Zhang III criminated theft on 6/1, then the evidence that Zhang III was not present is quite sufficient. Therefore, for electronic evidence, multiple pieces of evidence are combined to check whether a vulnerability exists; and if the loophole exists, performing risk analysis pertinently and giving a suggestion.
The foregoing is merely an example of the present invention, and common general knowledge in the field of known specific structures and characteristics is not described herein in any greater extent than that known in the art at the filing date or prior to the priority date of the application, so that those skilled in the art can now appreciate that all of the above-described techniques in this field and have the ability to apply routine experimentation before this date can be combined with one or more of the present teachings to complete and implement the present invention, and that certain typical known structures or known methods do not pose any impediments to the implementation of the present invention by those skilled in the art. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.
Claims (10)
1. An evidence collection suggestion generation method for legal consultation is characterized in that: the method comprises the following steps:
s1, uploading basic information of the case by the user;
s2, the system sends the guide information of the first evidence collection to the user according to the basic information of the case;
s3, the user collects the first evidence according to the guidance information and uploads the first collected evidence to the system;
s4, analyzing the evidence acquired for the first time by the system, generating a reply suggestion according to the analysis result, and sending the reply suggestion to the user;
s5, after receiving the reply suggestion, the user determines whether to carry out the second evidence collection according to the reply suggestion; if the user decides not to perform the second evidence collection, uploading the reply information which does not perform the second evidence collection; if the user decides to perform the second evidence collection, uploading the second collected evidence;
s6, if the system receives the reply information without the second evidence collection, the first collected evidence is packaged and stored; and if the evidence collected for the second time is received, packaging and storing the evidence collected for the first time and the evidence collected for the second time.
2. The evidence collection advice generation method for legal consultation according to claim 1, wherein: step S7 is also included to obfuscate information in the evidence relating to the privacy of the party and the identity of the witness.
3. The evidence collection advice generation method for legal consultation as defined in claim 2, wherein: step S8, collecting basic information, guidance information, the first collected evidence and the second collected evidence data of case, and establishing database in groups; each group of data comprises in sequence: basic information of the case, guiding information, evidence collected for the first time and data of evidence collected for the second time.
4. The evidence collection advice generation method for legal consultation according to claim 3, wherein: and step S9, analyzing the data in the database established in groups, comparing the difference between the evidence acquired for the first time and the evidence acquired for the second time, and optimizing the system.
5. The evidence collection advice generation method for legal consultation according to claim 4, wherein: step S2 specifically includes: s21, determining the corresponding case type according to the basic information; s22, inquiring guide information in the database according to case types: if the database has corresponding and unique guide information, the guide information is directly sent to the user; if the database has corresponding, two or more pieces of guidance information, comparing the guidance information, selecting the most matched guidance information and sending the most matched guidance information to the user; and if the database does not have corresponding guide information, selecting the guide information with the highest sending frequency from the recorded historical sending data.
6. The evidence collection advice generation method for legal consultation according to claim 5, wherein: step S4 specifically includes: s41, extracting time information and position information in the evidence data; s42, generating an evidence chain according to the time information and the position information of the evidence data; s43, generating a reply suggestion according to the evidence chain; and S44, sending a reply suggestion.
7. Evidence collection suggestion generation system for legal consultation is characterized in that: the method comprises the following steps:
the input module is used for uploading basic information of a case, evidence collected for the first time and evidence collected for the second time by a user;
the guiding module is used for sending guiding information for collecting evidence for the first time to the user according to the basic information of the case;
the analysis module is used for analyzing the evidence acquired for the first time, generating a reply suggestion according to an analysis result and sending the reply suggestion to a user;
and the storage module is used for packaging and storing the evidence acquired for the first time and the evidence acquired for the second time.
8. An evidence collection advice generation system for legal consultation according to claim 7, wherein: the system also comprises a privacy module which is used for carrying out fuzzy processing on the information related to the privacy of the party and the identity of the witness in the evidence.
9. An evidence collection advice generation system for legal consultation according to claim 8, wherein: the system also comprises a data module, a database and a data processing module, wherein the data module is used for collecting basic information, guidance information, evidence collected for the first time and evidence collected for the second time of the case and establishing a database in groups; each group of data comprises in sequence: basic information of the case, guiding information, evidence collected for the first time and data of evidence collected for the second time.
10. An evidence collection advice generation system for legal consultation according to claim 9, wherein: the system also comprises an optimization module which is used for analyzing the data in the database, comparing the difference between the evidence acquired for the first time and the evidence acquired for the second time and optimizing the system.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010132139.7A CN111369397A (en) | 2020-02-29 | 2020-02-29 | Evidence collection suggestion generation system and method for legal consultation |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010132139.7A CN111369397A (en) | 2020-02-29 | 2020-02-29 | Evidence collection suggestion generation system and method for legal consultation |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111369397A true CN111369397A (en) | 2020-07-03 |
Family
ID=71212659
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010132139.7A Pending CN111369397A (en) | 2020-02-29 | 2020-02-29 | Evidence collection suggestion generation system and method for legal consultation |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111369397A (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050071284A1 (en) * | 2003-09-26 | 2005-03-31 | Courson Gardner G. | Method of early case assessment in law suits |
| CN105206059A (en) * | 2015-10-28 | 2015-12-30 | 重庆邮电大学 | Traffic accident scene evidence collection guiding system and method thereof |
| US20160140381A1 (en) * | 2014-11-19 | 2016-05-19 | Booz Allen Hamilton | Device, system, and method for forensic analysis |
| CN106296528A (en) * | 2015-05-24 | 2017-01-04 | 上海光阴信息科技有限公司 | A kind of evidence-gathering and the method and system of process |
| CN108389392A (en) * | 2018-04-04 | 2018-08-10 | 广东容祺智能科技有限公司 | A kind of traffic accident responsibility identification system based on machine learning |
| CN110222145A (en) * | 2019-04-28 | 2019-09-10 | 杭州实在智能科技有限公司 | A kind of intelligence law appraisal procedure and system |
-
2020
- 2020-02-29 CN CN202010132139.7A patent/CN111369397A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050071284A1 (en) * | 2003-09-26 | 2005-03-31 | Courson Gardner G. | Method of early case assessment in law suits |
| US20160140381A1 (en) * | 2014-11-19 | 2016-05-19 | Booz Allen Hamilton | Device, system, and method for forensic analysis |
| CN106296528A (en) * | 2015-05-24 | 2017-01-04 | 上海光阴信息科技有限公司 | A kind of evidence-gathering and the method and system of process |
| CN105206059A (en) * | 2015-10-28 | 2015-12-30 | 重庆邮电大学 | Traffic accident scene evidence collection guiding system and method thereof |
| CN108389392A (en) * | 2018-04-04 | 2018-08-10 | 广东容祺智能科技有限公司 | A kind of traffic accident responsibility identification system based on machine learning |
| CN110222145A (en) * | 2019-04-28 | 2019-09-10 | 杭州实在智能科技有限公司 | A kind of intelligence law appraisal procedure and system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109636318B (en) | Real estate registration system and real estate registration method | |
| US11170376B2 (en) | Informational and analytical system and method for ensuring the level of trust, control and secure interaction of counterparties when using electronic currencies and contracts | |
| CN108540449B (en) | Intelligent seal control method and system and computer storage medium | |
| US10922770B2 (en) | Systems and methods for database management of transaction information and payment data | |
| US20040049445A1 (en) | Financial services automation | |
| US11562450B2 (en) | Systems and methods for database management of transaction information and payment instruction data | |
| KR20170007013A (en) | Method and system for supporting the creation of a legal document in online | |
| CN110969531A (en) | Borrowing deposit verification and online checking method and system | |
| CN108428135A (en) | Auth method | |
| CN114124428B (en) | Block chain-based access method and device for Internet of things equipment | |
| WO2020242550A1 (en) | Ensuring trust levels when using electronic currencies | |
| KR101730474B1 (en) | System for Private Property Management Application | |
| KR20060130469A (en) | System for processing the reception and transmission of affiated-store open applications and a method thereof and a recording medium having a program for performing the method | |
| CN112150272A (en) | House mortgage loan method and system based on workflow engine | |
| WO2019181586A2 (en) | Member-to-member contract device | |
| CN111369397A (en) | Evidence collection suggestion generation system and method for legal consultation | |
| CN112446671A (en) | Employee bill verification and sale management system with secondary verification function | |
| US20110161090A1 (en) | Automated ticket processing system and method | |
| CN111368080B (en) | Electronic evidence collection method for legal consultation robot | |
| CN115204860A (en) | Self-service payment system based on unified payment platform | |
| CN115170263A (en) | Supply reconciliation system and method | |
| JP2009042986A (en) | Management system, method and program for marketing sales history of financial product | |
| CN113987226A (en) | Hybrid storage method and device | |
| CN111339204B (en) | Electronic evidence collection system for legal consultation robot | |
| JP2004514216A (en) | Authentication service method and system by storing proof materials |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200703 |