Lawyer working efficiency evaluation method and system, electronic equipment and storage medium

Abstract

The invention relates to a lawyer working efficiency evaluation method, and the method comprises the steps: obtaining the historical processing case data of an institution and each lawyer in the institution in a preset time period, obtaining the monthly weighted case receiving value of each lawyer according to the historical processing case data and the preset case weights of different types of cases, and carrying out the evaluation of the working efficiency of each lawyer. The method comprises the steps of determining the average activeness of each lawyer based on a weighted case receiving value, generating time parameters for handling different types of cases by each lawyer according to historical case handling data, determining the busy degree of each lawyer based on the time parameters and unsettled case data of each lawyer, and evaluating the working efficiency of each lawyer based on the average activeness and the busy degree. According to the invention, the problem that there is no method for evaluating the working efficiency of lawyers is solved. According to different case types, the case handling activeness and busy degree of lawyers are automatically calculated, a lawyer work efficiency evaluation method is formed, and a reference basis is provided for lawyer work ability evaluation and lawyer intelligent recommendation.

Description

Technical Field

[0001] The present application relates to the field of intelligent evaluation, and in particular to methods, systems, electronic devices and storage media for evaluating lawyer work efficiency. Background Art

[0002] Lawyer work efficiency is one of the important indicators to measure lawyers' work ability and service quality. In the process of legal aid case handling, it is also one of the important reference indicators for assigning assistance lawyers to the parties.

[0003] In relevant technologies, the evaluation of lawyers' work ability currently focuses on dimensions such as lawyers' business volume, business quality, and business expertise, and no intelligent evaluation method for lawyers' work efficiency has yet to be proposed. Summary of the invention

[0004] The embodiments of the present application provide a method, system, electronic device and storage medium for evaluating lawyer work efficiency, so as to at least solve the problem that there is no method for evaluating lawyer work efficiency in the related art.

[0005] In a first aspect, an embodiment of the present application provides a method for evaluating lawyer work efficiency, the method comprising:

[0006] Obtain historical case handling data of the institution and each lawyer in the institution within a preset time period;

[0007] Obtaining a weighted case acceptance value of each lawyer per month based on the historical case handling data and preset case weights of different types of cases, and determining an average activity level of each lawyer based on the weighted case acceptance value;

[0008] generating time parameters for each lawyer to handle different types of cases based on the historical case processing data, and determining the busyness of each lawyer based on the time parameters and the pending case data of each lawyer;

[0009] Based on the average activity and the busyness, the work efficiency of each lawyer is evaluated.

[0010] In some embodiments, the weighted case acceptance value of each lawyer per month is obtained based on the historical case processing data and the preset case weights of different types of cases, including:

[0011] According to the historical case processing data, the first case volume accepted by the institution each month and the first proportion of each type of case accepted to the first case volume are obtained;

[0012] According to the historical case handling data, the second case volume handled by each lawyer each month and the second proportion of each type of case handled by the lawyer to the second case volume are obtained;

[0013] Based on the first proportion, the second proportion and the preset case weights, the weighted case acceptance value of each lawyer per month is determined.

[0014] In some embodiments, determining the average activity of each lawyer based on the weighted case acceptance value includes:

[0015] Based on the interquartile range statistical method, the distribution of the weighted case acceptance value of each lawyer in the interquartile range is obtained, and the monthly activity of each lawyer is determined according to the distribution;

[0016] According to the monthly activity, the average activity of each lawyer is obtained.

[0017] In some embodiments, determining the monthly activity of each lawyer according to the distribution includes:

[0018] When the weighted case acceptance value is between the lower bound of the interquartile range and the lower quartile, the monthly activity is recorded as -1;

[0019] When the weighted case acceptance value is between the lower quartile and the median of the interquartile range, the monthly activity is recorded as 0;

[0020] When the weighted case acceptance value is between the median and the upper quartile of the interquartile range, the monthly activity is recorded as 1;

[0021] When the weighted case acceptance value is between the upper quartile and the previous quartile of the interquartile range, the monthly activity is recorded as 2.

[0022] In some embodiments, the time parameter includes the maximum and minimum time taken by each lawyer to handle each type of case; and the time parameters for each lawyer to handle different types of cases generated based on the historical case processing data include:

[0023] Based on the historical case handling data, the mean and standard deviation of the time taken by each lawyer to handle each type of case are obtained;

[0024] Based on the time mean and the standard deviation, the maximum and minimum time taken by each lawyer to handle each type of case are obtained.

[0025] In some embodiments, the unresolved case data includes the types of unresolved cases and the processing time consumed by the unresolved cases within a preset evaluation time period; and determining the busyness of each lawyer based on the time parameter and the unresolved case data of each lawyer includes:

[0026] Obtaining the remaining processing time of the unresolved case according to the maximum processing time corresponding to the type of the unresolved case and the processing time consumed by the unresolved case;

[0027] Based on the remaining processing time, determining the minimum free time margin of each lawyer in the preset evaluation time period;

[0028] The busyness of each lawyer is determined according to the minimum idle time margin.

[0029] In some embodiments, the evaluating the work efficiency of each lawyer based on the average activity and the busyness includes:

[0030] The comprehensive work efficiency value of each lawyer is obtained according to the average activity, the activity weight, the busyness and the busyness weight.

[0031] In a second aspect, an embodiment of the present application provides a lawyer work efficiency evaluation system, which includes: a data acquisition module, an activity module, a busyness module and an evaluation module.

[0032] The data acquisition module is used to acquire historical case handling data of the institution and each lawyer in the institution within a preset time period;

[0033] The activity module is used to obtain the weighted case acceptance value of each lawyer per month according to the historical case processing data and the preset case weights of different types of cases, and determine the average activity of each lawyer based on the weighted case acceptance value;

[0034] The busyness module is used to generate time parameters for each lawyer to handle different types of cases based on the historical case processing data, and determine the busyness of each lawyer based on the time parameters and the pending case data of each lawyer;

[0035] The evaluation module is used to evaluate the work efficiency of each lawyer based on the average activity and the busyness.

[0036] In a third aspect, an embodiment of the present application provides a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method for evaluating the work efficiency of lawyers as described in the first aspect above is implemented.

[0037] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the lawyer work efficiency evaluation method as described in the first aspect above.

[0038] Compared with the related art, the lawyer work efficiency evaluation method provided by the embodiment of the present application obtains the historical case handling data of the institution and each lawyer in the institution within a preset time period, obtains the weighted case acceptance value of each lawyer per month based on the historical case handling data and the preset case weights of different types of cases, determines the average activity of each lawyer based on the weighted case acceptance value, generates the time parameters for each lawyer to handle different types of cases based on the historical case handling data, determines the busyness of each lawyer based on the time parameters and the pending case data of each lawyer, and evaluates the work efficiency of each lawyer based on the average activity and busyness, solving the problem of no method for evaluating the work efficiency of lawyers. According to different case types, the case handling activity and busyness of lawyers are automatically calculated to form an evaluation method for lawyer work efficiency, providing a reference basis for lawyer work ability evaluation and lawyer intelligent recommendation. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0040] Figure 1 is a flow chart of a method for evaluating lawyer work efficiency according to an embodiment of the present application;

[0041] Figure 2 is a flow chart of a method for calculating lawyer work activity according to an embodiment of the present application;

[0042] Figure 3 is a flow chart of a method for calculating lawyer work busyness according to an embodiment of the present application;

[0043] Figure 4 is a structural block diagram of a lawyer work efficiency evaluation system according to an embodiment of the present application;

[0044] Figure 5 It is a schematic diagram of the internal structure of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0045] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application is described and illustrated below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not intended to limit the present application. Based on the embodiments provided in the present application, all other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of the present application.

[0046] Obviously, the drawings described below are only some examples or embodiments of the present application. For ordinary technicians in this field, the present application can also be applied to other similar scenarios based on these drawings without creative work. In addition, it can also be understood that although the efforts made in this development process may be complicated and lengthy, for ordinary technicians in this field related to the content disclosed in this application, some changes in design, manufacturing or production based on the technical content disclosed in this application are just conventional technical means, and should not be understood as insufficient content disclosed in this application.

[0047] Reference to "embodiments" in this application means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those of ordinary skill in the art that the embodiments described in this application may be combined with other embodiments without conflict.

[0048] Unless otherwise defined, the technical terms or scientific terms involved in this application should be understood by people with ordinary skills in the technical field to which this application belongs. The words "one", "a", "a", "the" and the like involved in this application do not indicate a quantitative limitation, and may represent the singular or plural. The terms "include", "comprise", "have" and any of their variations involved in this application are intended to cover non-exclusive inclusions; for example, a process, method, system, product or device that includes a series of steps or modules (units) is not limited to the listed steps or units, but may also include steps or units that are not listed, or may also include other steps or units inherent to these processes, methods, products or devices. The words "connect", "connected", "coupled" and the like involved in this application are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. The "multiple" involved in this application refers to two or more. "And / or" describes the association relationship of associated objects, indicating that there may be three relationships, for example, "A and / or B" can represent: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the objects before and after are in an "or" relationship. The terms "first", "second", "third", etc. involved in this application are only used to distinguish similar objects and do not represent a specific ordering of the objects.

[0049] This embodiment provides a method for evaluating lawyer work efficiency. Figure 1 is a flowchart of a method for evaluating lawyer work efficiency according to an embodiment of the present application. Figure 1 As shown, the process includes the following steps:

[0050] Step S101, obtaining historical case data of the institution and each lawyer in the institution within a preset time period.

[0051] Preferably, the preset time period is 6 months or more. The historical case processing data includes case quantity and case type.

[0052] Step S102, according to the historical case processing data and the preset case weights of different types of cases, the weighted case acceptance value of each lawyer is obtained each month, and the average activity of each lawyer is determined based on the weighted case acceptance value.

[0053] In some embodiments, in step S102, based on historical case processing data and preset case weights of different types of cases, the weighted case acceptance value of each lawyer per month is obtained, including:

[0054] Step S1021, based on the historical case processing data, obtain the first case volume accepted by the institution each month and the first proportion of each type of case accepted to the first case volume.

[0055] Count the number of cases of each type accepted by the agency within a preset time period i,j and the total number of cases (i.e. the first number of cases)∑a i,j , where i represents the month and j represents the case type. Calculate the proportion of each type of case in the total case volume (i.e. the first proportion): p i,j =a i,j / ∑a i,j .

[0056] Step S1022, based on the historical case processing data, obtain the second case volume handled by each lawyer each month, and the second proportion of each type of case handled to the second case volume.

[0057] Calculate the number and proportion of cases of each type handled by each lawyer each month. Count the number of cases of each type handled by each lawyer within a preset time period. i,j , and calculate the proportion of cases handled in this type of caseload q i,j =b i,j / a i,j .

[0058] Step S1023, based on the first proportion, the second proportion and the preset case weights, determine the weighted case acceptance value of each lawyer each month.

[0059] Calculate the weighted caseload value of each lawyer each month:

[0060] ω i,j =∑k j *(p i,j *q i,j )

[0061] Among them, k j is the weight value. Optionally, the default k j =1, adjusted according to the user's attention to each type of case.

[0062] By setting weights for different goals, the importance and priority of different types of cases can be clarified, making the final evaluation results more in line with actual needs.

[0063] In some embodiments, determining the average activity of each lawyer based on the weighted case acceptance value in step S102 includes:

[0064] Step S1024, based on the interquartile range statistical method, obtain the distribution of the weighted case acceptance value of each lawyer in the interquartile range, and determine the monthly activity of each lawyer according to the distribution.

[0065] Perform statistical analysis on the weighted case acceptance value of each lawyer each month. Optionally, use the interquartile range statistical analysis method to obtain the case acceptance value of all lawyers ω i,j The distribution of the data is in the interquartile range, and the activity φ is calculated according to the distribution interval.

[0066] Optionally, when the weighted case acceptance value is between the lower limit of the interquartile range and the lower quartile, it is “inactive”, and the monthly activity φ=-1; when the weighted case acceptance value is between the lower quartile and the median of the interquartile range, it is “average”, and the monthly activity φ=0; when the weighted case acceptance value is between the median and the upper quartile of the interquartile range, it is “relatively active”, and the monthly activity φ=1; when the weighted case acceptance value is between the upper quartile and the upper quartile of the interquartile range, it is “very active”, and the monthly activity φ=2.

[0067] Step S1025, obtaining the average activity of each lawyer based on the monthly activity.

[0068] Calculate the average activity of each lawyer Where i is the month.

[0069] Based on the average activity of each lawyer For example, when When , it means that the lawyer is not active during the statistical period; when When , it means that the lawyer is generally active during the statistical period; when When , it means that the lawyer is relatively active during the statistical period; , it means that the lawyer was very active during the statistical period.

[0070] Figure 2It is a flowchart of a method for calculating lawyer work activity according to an embodiment of the present application.

[0071] Continue to refer to Figure 1 After obtaining the average activity of each lawyer, execute step S103.

[0072] Step S103, based on the historical case processing data, generate the time parameters for each lawyer to handle different types of cases, and determine the busyness of each lawyer based on the time parameters and the pending case data of each lawyer.

[0073] In some embodiments, the time parameter includes the maximum and minimum time taken by each lawyer to handle each type of case; in step S103, the time parameters for each lawyer to handle different types of cases are generated based on the historical case processing data, including:

[0074] Step S1031, based on the historical case processing data, obtain the mean and standard deviation of the time taken by each lawyer to handle each type of case.

[0075] Using historical data, we calculate the mean μ and standard deviation σ of the time each lawyer takes to handle each type of case. The larger the σ, the greater the deviation of the upper and lower limits of the time the lawyer takes to handle this type of case from the mean, which means that the stability of the time spent handling this type of case is worse.

[0076] Step S1032, based on the time mean and standard deviation, obtain the maximum and minimum time taken by each lawyer to handle each type of case.

[0077] Maximum duration t max =μ+2σ and minimum duration t min =μ-2σ represents the longest estimated case handling time and the shortest estimated case handling time that the lawyer can achieve with a 95% probability.

[0078] In some embodiments, the unresolved case data includes the types of unresolved cases and the processing time consumed by the unresolved cases within a preset evaluation period; in step S103, determining the busyness of each lawyer based on the time parameter and the unresolved case data of each lawyer includes:

[0079] Step S1033, obtaining the remaining processing time of the unresolved cases according to the maximum processing time corresponding to the type of unresolved cases and the processing time consumed by the unresolved cases.

[0080] Set the time interval t1 (i.e., the preset evaluation time period) for evaluating the lawyer's busyness, obtain the types of cases that each lawyer has not closed during this period, and the time t consumed by the unclosed cases c , get the remaining processing time t of unresolved cases s =t max -t c.

[0081] Step S1034, based on the remaining processing time, determine the minimum idle time margin of each lawyer in the preset evaluation time period.

[0082] The minimum idle time margin t within the preset evaluation time period t1 m =min(t1-t s ). If the lawyer does not accept the case within this time frame, then t m =t1.

[0083] Step S1035, determining the busyness of each lawyer based on the minimum idle time margin.

[0084] Optionally, use statistical analysis methods to calculate the minimum idle time margin t for each lawyer m For example, in the interquartile range method, for t m The lawyers in the range from the lower limit to the lower quartile have a busyness of free; m Lawyers in the lower quartile to the median are considered moderately busy. m Lawyers between the median and the upper quartile are considered relatively busy. m Lawyers in the upper quartile to upper limit range are considered very busy.

[0085] Figure 3 It is a flowchart of a method for calculating lawyer work busyness according to an embodiment of the present application.

[0086] Step S104, evaluating the work efficiency of each lawyer based on the average activity and busyness.

[0087] In some of the embodiments, evaluating the work efficiency of each lawyer based on average activity and busyness includes: obtaining a comprehensive work efficiency value of each lawyer according to average activity, activity weight, busyness and busyness weight.

[0088] Assign points to the average activity H and busyness Τ of lawyers. For example, H = {1, 2, 3, 4} represents four activity levels: inactive, moderately active, relatively active, and very active; T = {1, 2, 3, 4} represents four busyness levels: inactive, moderately busy, relatively busy, and very busy.

[0089] The weighted sum of the average activity H and busyness Τ is used to obtain the lawyer's comprehensive work efficiency. The calculation formula is: E = ρ*T + (1-ρ)*H, where E is the comprehensive work efficiency value, ρ is the activity weight, and (1-ρ) is the busyness weight.

[0090] The lawyers’ work efficiency is evaluated based on the comprehensive work efficiency value E. For example, 1≤E<2 means low efficiency, 2≤E<3 means normal, and 3≤E≤4 means high efficiency.

[0091] Through the above steps, the historical case handling data of the institution and each lawyer in the institution within the preset time period are obtained. According to the historical case handling data and the preset case weights of different types of cases, the weighted case acceptance value of each lawyer per month is obtained. The average activity of each lawyer is determined based on the weighted case acceptance value. According to the historical case handling data, the time parameters for each lawyer to handle different types of cases are generated. Based on the time parameters and the pending case data of each lawyer, the busyness of each lawyer is determined. Based on the average activeness and busyness, the work efficiency of each lawyer is evaluated, which solves the problem of no method for evaluating the work efficiency of lawyers. According to different case types, the case handling activity and busyness of lawyers are automatically calculated to form an evaluation method for the work efficiency of lawyers, which provides a reference for the evaluation of lawyers' work ability and intelligent recommendation of lawyers.

[0092] Comprehensively consider the impact of case types on lawyers' activity and busyness, avoid lawyers being misjudged due to uneven distribution of data samples because of taking on difficult or low-profile cases, and achieve scientific and dynamic evaluation of lawyers' work efficiency. On the one hand, it can provide a reference for the assessment and management of lawyers, and avoid the phenomenon of lawyers not taking action after being hired as legal aid lawyers; on the other hand, it can help allocate lawyer resources more reasonably. For example, when staff in legal aid business assign lawyers, they use busyness as one of the recommendation dimensions, and recommend suitable and not busy lawyers to the recipients, so that they can receive more timely and efficient services.

[0093] It should be noted that the steps shown in the above process or the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0094] This embodiment also provides a lawyer work efficiency evaluation system, which is used to implement the above-mentioned embodiments and preferred implementation modes, and will not be repeated here. As used below, the terms "module", "unit", "subunit", etc. can be a combination of software and / or hardware that implements a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0095] Figure 4 is a structural block diagram of a lawyer work efficiency evaluation system according to an embodiment of the present application, such as Figure 4 As shown, the system includes: a data acquisition module 41, an activity module 42, a busyness module 43 and an evaluation module 44.

[0096] The data acquisition module 41 is used to acquire the historical case handling data of the institution and each lawyer in the institution within a preset time period.

[0097] The activity module 42 is used to obtain the weighted case acceptance value of each lawyer every month based on the historical case processing data and the preset case weights of different types of cases, and determine the average activity of each lawyer based on the weighted case acceptance value.

[0098] The busyness module 43 is used to generate time parameters for each lawyer to handle different types of cases based on historical case processing data, and determine the busyness of each lawyer based on the time parameters and the pending case data of each lawyer.

[0099] The evaluation module 44 is used to evaluate the work efficiency of each lawyer based on the average activity and busyness.

[0100] In some embodiments, the activity module 42 includes: a first proportion module, a second proportion module and a case acceptance value module.

[0101] The first proportion module is used to obtain the first case volume accepted by the agency each month and the first proportion of each type of case accepted to the first case volume based on historical case processing data.

[0102] The second proportion module is used to obtain the second case volume handled by each lawyer each month and the second proportion of each type of case handled to the second case volume based on historical case processing data.

[0103] The case acceptance value module is used to determine the weighted case acceptance value of each lawyer each month based on the first proportion, the second proportion and the preset case weight.

[0104] In some embodiments, the activity module 42 includes: a monthly activity module and an average module.

[0105] The monthly activity module is used to obtain the distribution of each lawyer's weighted case acceptance value in the interquartile range based on the interquartile range statistical method, and determine the monthly activity of each lawyer based on the distribution.

[0106] The average module is used to obtain the average activity of each lawyer based on the monthly activity.

[0107] In some embodiments, the monthly activity module includes: an activity determination module, which is used to record the monthly activity as -1 when the weighted case acceptance value is in the range from the lower limit of the interquartile range to the lower quartile; when the weighted case acceptance value is in the range from the lower quartile to the median of the interquartile range, the monthly activity is recorded as 0; when the weighted case acceptance value is in the range from the median to the upper quartile of the interquartile range, the monthly activity is recorded as 1; when the weighted case acceptance value is in the range from the upper quartile to the upper quartile of the interquartile range, the monthly activity is recorded as 2.

[0108] In some embodiments, the time parameter includes the maximum and minimum time durations for each lawyer to handle each type of case; the busyness module 43 includes: a parameter module.

[0109] The parameter module is used to obtain the mean and standard deviation of the time taken by each lawyer to handle each type of case based on historical case processing data; based on the mean and standard deviation of the time, the maximum and minimum time taken by each lawyer to handle each type of case is obtained.

[0110] In some of the embodiments, the unresolved case data includes the types of unresolved cases and the processing time consumed by the unresolved cases within a preset evaluation time period; the busyness module 43 includes: a remaining time module, an idle time module and a busyness determination module.

[0111] The remaining time module is used to obtain the remaining processing time of unresolved cases based on the maximum processing time corresponding to the type of unresolved cases and the processing time consumed by the unresolved cases;

[0112] The free time module is used to determine the minimum free time margin of each lawyer in the preset evaluation period based on the remaining processing time;

[0113] The busyness determination module is used to determine the busyness of each lawyer based on the minimum idle time margin.

[0114] In some embodiments, the evaluation module 44 includes: a weighting module.

[0115] The weighting module is used to obtain the comprehensive work efficiency value of each lawyer based on the average activity, activity weight, busyness and busyness weight.

[0116] Through the above system, the data acquisition module 41 obtains the historical case handling data of the institution and each lawyer in the institution within the preset time period. The activity module 42 obtains the weighted case acceptance value of each lawyer per month based on the historical case handling data and the preset case weights of different types of cases, and determines the average activity of each lawyer based on the weighted case acceptance value. The busyness module 43 generates the time parameters for each lawyer to handle different types of cases based on the historical case processing data, and determines the busyness of each lawyer based on the time parameters and the unclosed case data of each lawyer. The evaluation module 44 evaluates the work efficiency of each lawyer based on the average activity and busyness, solving the problem of no method for evaluating the work efficiency of lawyers. According to different case types, the case handling activity and busyness of lawyers are automatically calculated to form an evaluation method for the work efficiency of lawyers, providing a reference for the evaluation of lawyers' work ability and intelligent recommendation of lawyers.

[0117] It should be noted that the above modules can be functional modules or program modules, and can be implemented by software or hardware. For modules implemented by hardware, the above modules can be located in the same processor; or the above modules can be located in different processors in any combination.

[0118] This embodiment further provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0119] Optionally, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0120] Optionally, in this embodiment, the processor may be configured to perform the following steps through a computer program:

[0121] S1, obtain the historical case handling data of the institution and each lawyer in the institution within a preset time period.

[0122] S2, based on historical case handling data and preset case weights for different types of cases, obtain the weighted case acceptance value of each lawyer each month, and determine the average activity of each lawyer based on the weighted case acceptance value.

[0123] S3, based on the historical case processing data, generates the time parameters for each lawyer to handle different types of cases, and determines the busyness of each lawyer based on the time parameters and the pending case data of each lawyer.

[0124] S4, evaluates the work efficiency of each lawyer based on the average activity and busyness.

[0125] It should be noted that the specific examples in this embodiment can refer to the examples described in the above embodiments and optional implementation modes, and this embodiment will not be described in detail here.

[0126] In one embodiment, Figure 5 is a schematic diagram of the internal structure of an electronic device according to an embodiment of the present application, such as Figure 5 As shown, an electronic device is provided, which may be a server, and its internal structure diagram may be as shown in Figure 5 As shown. The electronic device includes a processor, a memory, a network interface and a database connected through a system bus. Among them, the processor of the electronic device is used to provide computing and control capabilities. The memory of the electronic device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the electronic device is used to store data. The network interface of the electronic device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for evaluating the work efficiency of lawyers is implemented.

[0127] Those skilled in the art will understand that Figure 5 The structure shown in the figure is merely a block diagram of a partial structure related to the scheme of the present application, and does not constitute a limitation on the electronic device to which the scheme of the present application is applied. The specific electronic device may include more or fewer components than shown in the figure, or combine certain components, or have a different arrangement of components.

[0128] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0129] Those skilled in the art should understand that the technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0130] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the attached claims.

Claims

1. A method for evaluating lawyer work efficiency, characterized in that: The method comprises: Obtain historical case handling data of the institution and each lawyer in the institution within a preset time period; Obtaining a weighted case acceptance value of each lawyer per month based on the historical case handling data and preset case weights of different types of cases, and determining an average activity level of each lawyer based on the weighted case acceptance value; generating time parameters for each lawyer to handle different types of cases based on the historical case processing data, and determining the busyness of each lawyer based on the time parameters and the pending case data of each lawyer; Based on the average activity and the busyness, the work efficiency of each lawyer is evaluated.

2. The method according to claim 1, characterized in that The weighted case acceptance value of each lawyer per month obtained based on the historical case processing data and the preset case weights of different types of cases includes: According to the historical case processing data, the first case volume accepted by the institution each month and the first proportion of each type of case accepted to the first case volume are obtained; According to the historical case handling data, the second case volume handled by each lawyer each month and the second proportion of each type of case handled by the lawyer to the second case volume are obtained; Based on the first proportion, the second proportion and the preset case weights, the weighted case acceptance value of each lawyer per month is determined.

3. The method according to claim 1, characterized in that Determining the average activity of each lawyer based on the weighted case acceptance value includes: Based on the interquartile range statistical method, the distribution of the weighted case acceptance value of each lawyer in the interquartile range is obtained, and the monthly activity of each lawyer is determined according to the distribution; According to the monthly activity, the average activity of each lawyer is obtained.

4. The method according to claim 3, characterized in that Determining the monthly activity of each lawyer according to the distribution includes: When the weighted case acceptance value is between the lower bound of the interquartile range and the lower quartile, the monthly activity is recorded as -1; When the weighted case acceptance value is between the lower quartile and the median of the interquartile range, the monthly activity is recorded as 0; When the weighted case acceptance value is between the median and the upper quartile of the interquartile range, the monthly activity is recorded as 1; When the weighted case acceptance value is between the upper quartile and the previous quartile of the interquartile range, the monthly activity is recorded as 2.

5. The method according to claim 1, characterized in that: The time parameters include the maximum and minimum time durations for each lawyer to handle each type of case; the time parameters for each lawyer to handle different types of cases generated based on the historical case processing data include: Based on the historical case handling data, the mean and standard deviation of the time taken by each lawyer to handle each type of case are obtained; Based on the time mean and the standard deviation, the maximum and minimum time taken by each lawyer to handle each type of case are obtained.

6. The method according to claim 5, characterized in that The unresolved case data includes the types of unresolved cases within a preset evaluation period and the processing time consumed by the unresolved cases; Determining the busyness of each lawyer based on the time parameter and the unresolved case data of each lawyer includes: Obtaining the remaining processing time of the unresolved case according to the maximum processing time corresponding to the type of the unresolved case and the processing time consumed by the unresolved case; Based on the remaining processing time, determining the minimum free time margin of each lawyer in the preset evaluation time period; The busyness of each lawyer is determined according to the minimum idle time margin.

7. The method according to claim 1, characterized in that The evaluation of the work efficiency of each lawyer based on the average activity and the busyness includes: The comprehensive work efficiency value of each lawyer is obtained according to the average activity, the activity weight, the busyness and the busyness weight.

8. A lawyer work efficiency evaluation system, characterized in that: The system comprises: a data acquisition module, an activity module, a busyness module and an evaluation module. The data acquisition module is used to acquire historical case handling data of the institution and each lawyer in the institution within a preset time period; The activity module is used to obtain the weighted case acceptance value of each lawyer per month according to the historical case processing data and the preset case weights of different types of cases, and determine the average activity of each lawyer based on the weighted case acceptance value; The busyness module is used to generate time parameters for each lawyer to handle different types of cases based on the historical case processing data, and determine the busyness of each lawyer based on the time parameters and the pending case data of each lawyer; The evaluation module is used to evaluate the work efficiency of each lawyer based on the average activity and the busyness.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, it implements the lawyer work efficiency evaluation method as described in any one of claims 1 to 7.

10. A storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method for evaluating the work efficiency of lawyers as described in any one of claims 1 to 7 is implemented.

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