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[[PDF](http://aclweb.org/anthology/D17-1289)] [[Blog](https://bamtercelboo.github.io/2018/07/19/Learning-to-Predict-Charges-for-Criminal-Cases-with-Legal-Basis/)] 23 | 24 | - **Multi-Task CNN for Classification of Chinese Legal Questions**(2017), Guangyi Xiao et al. [[PDF](https://ieeexplore.ieee.org/abstract/document/8119134)] 25 | 26 | - **An Ontological Chinese Legal Consultation System**(2017), Ni Zhang et al. [[PDF](https://ieeexplore.ieee.org/abstract/document/8016577)] 27 | 28 | - **Chinese Questions Classification in the Law Domain**(2017), Guangyi Xiao et al. [[PDF](https://ieeexplore.ieee.org/abstract/document/8119153)] 29 | 30 | - **Legal NLP Introduction**(2017), Adeline Nazarenko et al. [[PDF](http://www.atala.org/sites/default/files/1-%20TAL-58-2-legal%20NLP-introduction.pdf)] 31 | 32 | - **Exploring the use of text classification in the legal domain**(2017), Octavia-Maria Sulea et al. [[PDF](https://arxiv.org/pdf/1710.09306.pdf)] 33 | 34 | - **Predicting the Law Area and Decisions of French Supreme Court Cases**(2017), Octavia-Maria Sulea et al. [[PDF](https://arxiv.org/pdf/1708.01681.pdf)] 35 | 36 | - **Text summarization from legal documents: a survey**(2017), Ambedkar Kanapala et al. [[PDF](https://link.springer.com/article/10.1007/s10462-017-9566-2)] 37 | 38 | - **Applying Deep Neural Network to Retrieve Relevant Civil Law Articles**(2017), Anh Hang Nga Tran et al. [[PDF](https://aclanthology.info/papers/R17-2007/r17-2007)] 39 | 40 | - **Legal Question Answering using Ranking SVM and Deep Convolutional Neural Network**(2017), Phong-Khac Do et al. [[PDF](https://arxiv.org/abs/1703.05320)] 41 | 42 | 43 | ####    2018 #### 44 | 45 | - **Overview of cail2018: legal judgment prediction competition**(2018), Haoxi Zhong et al. [[PDF](https://arxiv.org/pdf/1810.05851.pdf)] [[Code](https://github.com/thunlp/CAIL)] 46 | - **CAIL2018: A Large-Scale Legal Dataset for Judgment Prediction**(2018), Chaojun Xiao et al. [[PDF](https://arxiv.org/pdf/1807.02478.pdf)] 47 | - **Few-shot charge prediction with discriminative legal attributes**(2018), Zikun Hu et al. [[PDF](http://aclweb.org/anthology/C18-1041)] [[Code](https://github.com/thunlp/attribute_charge)] 48 | - **Interpretable rationale augmented charge prediction system**(2018), Xin Jiang et al. [[PDF](http://aclweb.org/anthology/C18-2032)] 49 | - **Interpretable Charge Predictions for Criminal Cases: Learning to Generate Court Views from Fact Descriptions**(2018), Hai Ye et al. [[PDF](https://arxiv.org/pdf/1802.08504.pdf)] [[Code](https://github.com/oceanypt/Court-View-Gen)] 50 | - **Legal judgment prediction via topological learning**(2018), Haoxi Zhong et al. [[PDF](http://www.aclweb.org/anthology/D18-1390)] [[Code](https://github.com/thunlp/TopJudge)] 51 | - **SECaps: A Sequence Enhanced Capsule Model for Charge Prediction**(2018), Congqing He et al. [[PDF](https://arxiv.org/pdf/1810.04465.pdf)] 52 | - **A Markov Logic Networks Based Method to Predict Judicial Decisions of Divorce Cases**(2018), Jiajing Li et al. [[PDF](https://ieeexplore.ieee.org/abstract/document/8513727)] 53 | - **Research and Design on Cognitive Computing Framework for Predicting Judicial Decisions**(2018), Jiajing Li et al. [[PDF](https://link.springer.com/article/10.1007/s11265-018-1429-9)] 54 | - **Automatic judgment prediction via legal reading comprehension**(2018), Shangbang Long et al. [[PDF](https://arxiv.org/pdf/1809.06537.pdf)] 55 | - **Law text classification using semi-supervised convolutional neural networks**(2018), Penghua Li et al. [[PDF](https://ieeexplore.ieee.org/abstract/document/8407150)] 56 | - **Legal Article-Aware End-To-End Memory Network for Charge Prediction**(2018), Yatian Shen et al. [[PDF](https://dl.acm.org/doi/abs/10.1145/3207677.3278068)] 57 | - **人工智能与法律结合的现状及发展趋势(State-of-the-art and Development Trend of Artificial Intelligence Combined with Law)**(2018), 黄俏娟等. [[PDF](http://www.jsjkx.com/jsjkx/ch/reader/view_abstract.aspx?file_no=20181201&flag=1)] 58 | - **法律与人工智能的法哲学思考——以大数据深度学习为考察重点(A Philosophic Though on the Law and AI)**(2018), 吴旭阳. [[PDF](http://dffx.cbpt.cnki.net/WKD/WebPublication/advSearchPaperList.aspx?ys=2018&ist=&ns=&us=&ps=&pt=%E6%B3%95%E5%BE%8B%E4%B8%8E%E4%BA%BA%E5%B7%A5%E6%99%BA%E8%83%BD%E7%9A%84%E6%B3%95%E5%93%B2%E5%AD%A6%E6%80%9D%E8%80%83&pks=&pc=&st=year&stp=&ds=&pcl=)] 59 | - **人工智能介入司法领域路径分析(Methods of Judicial Application of AI Technologies)**(2018), 潘庸鲁. [[PDF](http://dffx.cbpt.cnki.net/WKD/WebPublication/advSearchPaperList.aspx?ys=2018&ist=&ns=&us=&ps=&pt=%E4%BA%BA%E5%B7%A5%E6%99%BA%E8%83%BD%E4%BB%8B%E5%85%A5%E5%8F%B8%E6%B3%95%E9%A2%86%E5%9F%9F%E8%B7%AF%E5%BE%84%E5%88%86%E6%9E%90&pks=&pc=&st=year&stp=&ds=&pcl=)] 60 | - **智能辅助:AI下民商事办案系统的建构——以裁判思维与要件标注为切入点(AI Assistance: How to Handle Civil and Commercial Cases)**(2018), 蔡一博. [[PDF](http://dffx.cbpt.cnki.net/WKD/WebPublication/advSearchPaperList.aspx?ys=2018&ist=&ns=&us=&ps=&pt=%E6%99%BA%E8%83%BD%E8%BE%85%E5%8A%A9%EF%BC%9AAI%E4%B8%8B%E6%B0%91%E5%95%86%E4%BA%8B%E5%8A%9E%E6%A1%88%E7%B3%BB%E7%BB%9F%E7%9A%84%E5%BB%BA%E6%9E%84&pks=&pc=&st=year&stp=&ds=&pcl=)] 61 | - **我国司法人工智能建设的问题与应对(Judicial AI in China: Issues and Solutions)**(2018), 程凡卿. [[PDF](http://dffx.cbpt.cnki.net/WKD/WebPublication/advSearchPaperList.aspx?ys=2018&ist=&ns=&us=&ps=&pt=%E6%88%91%E5%9B%BD%E5%8F%B8%E6%B3%95%E4%BA%BA%E5%B7%A5%E6%99%BA%E8%83%BD%E5%BB%BA%E8%AE%BE%E7%9A%84%E9%97%AE%E9%A2%98%E4%B8%8E%E5%BA%94%E5%AF%B9&pks=&pc=&st=year&stp=&ds=&pcl=)] 62 | - **NLP Based Latent Semantic Analysis for Legal Text Summarization**(2018), Kaiz Merchant et al. [[PDF](https://ieeexplore.ieee.org/abstract/document/8554831)] 63 | - **A Methodology for a Criminal Law and Procedure Ontology for Legal Question Answering**(2018), Biralatei Fawei et al. [[PDF](https://link.springer.com/chapter/10.1007/978-3-030-04284-4_14)] 64 | - **Deep learning in law: early adaptation and legal word embeddings trained on large corpora**(2018), Ilias Chalkidis et al. [[PDF](https://link.springer.com/article/10.1007/s10506-018-9238-9)] 65 | - **Using OpenWordnet-PT for Question Answering on Legal Domain**(2018), Pedro Delfino et al. [[PDF](http://compling.hss.ntu.edu.sg/events/2018-gwc/pdfs/GWC2018_paper_59.pdf)] 66 | 67 | 68 | ####    2019 #### 69 | - **Legal Judgment Prediction via Multi-Perspective Bi-Feedback Network**(2019), Yang Wenmian et al. [[PDF](https://arxiv.org/pdf/1905.03969.pdf)] 70 | 71 | - **基于深度学习的判决结果倾向性分析(Orientation analysis of judgment results based on deep learning)**(2019), 王业沛等. [[PDF](http://www.arocmag.com/article/01-2019-02-004.html)] 72 | 73 | - **融入罪名关键词的法律判决预测多任务学习模型(Multi-task learning model for legal judgment predictions with charge keywords)**(2019), 刘宗林等. [[PDF](http://jst.tsinghuajournals.com/CN/Y2019/V59/I7/497)] 74 | 75 | - **基于混合深度神经网络模型的司法文书智能化处理(Judicial document intellectual processing using hybrid deep neural networks)**(2019), 王文广等. [[PDF](http://jst.tsinghuajournals.com/CN/Y2019/V59/I7/505)] 76 | 77 | - **基于序列到序列模型的法律问题关键词抽取(Keyphrase extraction for legal questions based on a sequence to sequence model)**(2019), 曾道建等. [[PDF](http://jst.tsinghuajournals.com/CN/Y2019/V59/I4/256)] 78 | 79 | - **Neural Legal Judgment Prediction in English**(2019), Ilias Chalkidis et al. [[PDF](https://arxiv.org/pdf/1906.02059.pdf)] 80 | 81 | - **An External Knowledge Enhanced Multi-label Charge Prediction Approach with Label Number Learning**(2019), Duan Wei, Li Lin et al. [[PDF](https://arxiv.org/abs/1907.02205)] 82 | 83 | - **Charge Prediction with Legal Attention**(2019), Qiaoben Bao et al. [[PDF](https://link.springer.com/chapter/10.1007%2F978-3-030-32233-5_35)] 84 | 85 | - **Large-Scale Multi-Label Text Classification on EU Legislation**(2019), Ilias Chalkidis et al. [[PDF](https://arxiv.org/abs/1906.02192)] 86 | 87 | - **Extreme Multi-Label Legal Text Classification: A Case Study in EU Legislation**(2019), Ilias Chalkidis et al. [[PDF](https://www.aclweb.org/anthology/W19-2209/)] 88 | 89 | - **Using Case Facts to Predict Penalty with Deep Learning**(2019), Yu Li et al. [[PDF](https://link.springer.com/chapter/10.1007/978-981-15-0121-0_47)] 90 | 91 | - **Charge-Based Prison Term Prediction with Deep Gating Network**(2019), Huajie Chen et al. [[PDF](https://arxiv.org/abs/1908.11521)] 92 | 93 | - **Case Facts Analysis Method Based on Deep Learning**(2019), Zihuan Xu et al. [[PDF](https://link.springer.com/chapter/10.1007/978-3-030-30952-7_11)] 94 | 95 | - **Hierarchical Matching Network for Crime Classification**(2019), Pengfei Wang et al. [[PDF](https://dl.acm.org/citation.cfm?id=3331223)] 96 | 97 | - **A Few-Shot Transfer Learning Approach Using Text-label Embedding with Legal Attributes for Law Article Prediction**(2019), Yuh-Shyan Chen et al. [[PDF](https://easychair.org/publications/preprint_download/Dbr3)] 98 | 99 | - **A Recurrent Attention Network for Judgment Prediction**(2019), Ze Yang et al. [[PDF](https://link.springer.com/chapter/10.1007/978-3-030-30490-4_21)] 100 | 101 | - **Learning to Predict Charges for Judgment with Legal Graph**(2019), Si Chen et al. [[PDF](https://link.springer.com/chapter/10.1007/978-3-030-30490-4_20)] 102 | 103 | - **Research and Design on Cognitive Computing Framework for Predicting Judicial Decisions**(2019), Jiajing Li et al. [[PDF](https://link.springer.com/article/10.1007/s11265-018-1429-9)] 104 | 105 | ---------- 106 | ## Competition ## 107 | 108 | - **让AI当法官(BDCI2017)**, 2017年， 举办单位（明略数据 & 中国计算机学会）[[Detail](https://www.datafountain.cn/competitions/277/details)] 109 | 110 | - **"中国法研杯" ---- 司法人工智能挑战赛(CAIL2018)**，2018年，举办单位（中国司法大数据研究院、中国中文信息学会、中电科系统团委联合清华大学、清华大学、北京大学、中国科学院软件研究所）[[Detail](http://cail.cipsc.org.cn/)] [[Blog-1](https://bamtercelboo.github.io/2018/10/17/AI_Law/)] [[Blog-2](http://www.52nlp.cn/%e5%a6%82%e4%bd%95%e7%94%a8%e6%b7%b1%e5%ba%a6%e5%ad%a6%e4%b9%a0%e5%81%9a%e5%a5%bd%e9%95%bf%e6%96%87%e6%9c%ac%e5%88%86%e7%b1%bb%e4%b8%8e%e6%b3%95%e5%be%8b%e6%96%87%e4%b9%a6%e6%99%ba%e8%83%bd%e5%8c%96)] 111 | 112 | - **"中国法研杯" ---- 司法人工智能挑战赛(CAIL2019)**，2019年 113 | 114 | ---------- 115 | ## Project ## 116 | update later. 117 | 118 | 119 | ## Online System ## 120 | - **法信(智答版)**, 人民法院出版集团、中国司法大数据研究院和北京国双科技有限公司， ---> [[法信(智答版)](http://www.lawiask.com/#/)] 121 | 122 | - **觅律搜索**, 北京幂律智能科技有限责任公司， ---> [[觅律so.legal](https://solegal.cn/)] 123 | 124 | - **度小法---法律智库**, 百度， ---> [[度小法](https://duxiaofa.baidu.com/)] 125 | 126 | - **北大法宝**, 北京北大英华科技有限公司、北京大学法制信息中心， ---> [[北大法宝](http://www.pkulaw.cn/)] 127 | 128 | - **法律智能判决系统**, 黑龙江大学自然语言处理实验室， ---> [[法律智能判决系统](http://47.95.219.130/)] 129 | 130 | - **法小飞**, 哈工大讯飞联合实验室， ---> [法小飞-微信公众号] 131 | 132 | - **秘塔翻译及智能检索**, 秘塔科技， ---> [[秘塔翻译及智能检索](https://metaso.cn)] 133 | 134 | - **包小黑法律咨询**, 杭州实在智能科技有限公司， ---> [[包小黑法律咨询](https://110.ai-indeed.com/)] 135 | 136 | 137 | ## Question ## 138 | 139 | - if you have any question, you can open a issue or email **bamtercelboo@{gmail.com, 163.com**}. 140 | 141 | - if you have any good suggestions, you can PR or email me. 142 | 143 | 144 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Awesome-Law-NLP-Research-Work 2 | Summary of NLP related research work in the field of law in recent years, contains paper, competition and some excellent projects, online system. 3 | 4 | **`It will be updated gradually.`** 5 | 6 | 7 | 8 | ---------- 9 | ## Outline ## 10 | - Outline 11 | - [Paper](https://github.com/bamtercelboo/Awesome-Law-NLP-Research-Work#paper) 12 | - [Competition](https://github.com/bamtercelboo/Awesome-Law-NLP-Research-Work#competition) 13 | - [Online System](https://github.com/bamtercelboo/Awesome-Law-NLP-Research-Work#online-system) 14 | - [Question](https://github.com/bamtercelboo/Awesome-Law-NLP-Research-Work#question) 15 | 16 | ---------- 17 | 18 | 19 | ## Paper ## 20 | ####    2017 #### 21 | 22 | 1. *Luo B, Feng Y, Xu J, et al*. **Learning to Predict Charges for Criminal Cases with Legal Basis**[C]//Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing. 2017: 2727-2736. [[PDF](https://www.aclweb.org/anthology/D17-1289.pdf)] 23 | 2. *Xiao G, Mo J, Chow E, et al*. **Multi-Task CNN for classification of Chinese legal questions**[C]//2017 IEEE 14th International Conference on e-Business Engineering (ICEBE). IEEE, 2017: 84-90. [[PDF](https://ieeexplore.ieee.org/abstract/document/8119134)] 24 | 3. *Zhang N, Pu Y F, Yang S Q, et al*. **An ontological Chinese legal consultation system**[J]. IEEE Access, 2017, 5: 18250-18261. [[PDF](https://ieeexplore.ieee.org/abstract/document/8016577)] 25 | 4. *Xiao G, Chow E, Chen H, et al*. **Chinese Questions Classification in the Law Domain**[C]//2017 IEEE 14th International Conference on e-Business Engineering (ICEBE). IEEE, 2017: 214-219. [[PDF](https://ieeexplore.ieee.org/abstract/document/8119153)] 26 | 5. *Nazarenko A, Wyner A.* **Legal NLP Introduction**[J]. TAL, 2017, 58: 7-19. [[PDF](http://www.atala.org/sites/default/files/1-%20TAL-58-2-legal%20NLP-introduction.pdf)] 27 | 6. *Sulea O M, Zampieri M, Malmasi S, et al*. **Exploring the use of text classification in the legal domain**[J]. arXiv preprint arXiv:1710.09306, 2017. [[PDF](https://arxiv.org/pdf/1710.09306.pdf)] 28 | 7. *Sulea O M, Zampieri M, Vela M, et al*. **Predicting the law area and decisions of french supreme court cases**[J]. arXiv preprint arXiv:1708.01681, 2017. [[PDF](https://arxiv.org/pdf/1708.01681.pdf)] 29 | 8. *Kanapala A, Pal S, Pamula R*. **Text summarization from legal documents: a survey**[J]. Artificial Intelligence Review, 2019, 51(3): 371-402. [[PDF](https://link.springer.com/article/10.1007/s10462-017-9566-2)] 30 | 9. *Hang N T A*. **Applying deep neural network to retrieve relevant civil law articles**[C]//Proceedings of the Student Research Workshop associated with RANLP. 2017: 46-48. [[PDF](https://acl-bg.org/proceedings/2017/RANLPStud%202017/pdf/RANLPStud007.pdf)] 31 | 10. *Do P K, Nguyen H T, Tran C X, et al*. **Legal question answering using ranking SVM and deep convolutional neural network**[J]. arXiv preprint arXiv:1703.05320, 2017. [[PDF](https://arxiv.org/abs/1703.05320)] 32 | 33 | 34 | 35 | 36 | ####    2018 #### 37 | 38 | 1. *Zhong H, Xiao C, Guo Z, et al*. **Overview of cail2018: Legal judgment prediction competition**[J]. arXiv preprint arXiv:1810.05851, 2018. [[PDF](https://arxiv.org/pdf/1810.05851.pdf)] 39 | 2. *Xiao C, Zhong H, Guo Z, et al*. **Cail2018: A large-scale legal dataset for judgment prediction**[J]. arXiv preprint arXiv:1807.02478, 2018. [[PDF](https://arxiv.org/pdf/1807.02478.pdf)] 40 | 3. *Hu Z, Li X, Tu C, et al.* **Few-shot charge prediction with discriminative legal attributes**[C]//Proceedings of the 27th International Conference on Computational Linguistics. 2018: 487-498. 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[[PDF](http://www.aclweb.org/anthology/D18-1390)] 44 | 8. *Li J, Zhang G, Yan H, et al*. **A Markov Logic Networks Based Method to Predict Judicial Decisions of Divorce Cases**[C]//2018 IEEE International Conference on Smart Cloud (SmartCloud). IEEE, 2018: 129-132. [[PDF](https://ieeexplore.ieee.org/abstract/document/8513727)] 45 | 9. *Li J, Zhang G, Yu L, et al*. **Research and Design on Cognitive Computing Framework for Predicting Judicial Decisions**[J]. Journal of Signal Processing Systems, 2019, 91(10): 1159-1167. [[PDF](https://link.springer.com/article/10.1007/s11265-018-1429-9)] 46 | 10. *Long S, Tu C, Liu Z, et al.* **Automatic judgment prediction via legal reading comprehension**[C]//China National Conference on Chinese Computational Linguistics. Springer, Cham, 2019: 558-572. 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[[PDF](http://compling.hss.ntu.edu.sg/events/2018-gwc/pdfs/GWC2018_paper_59.pdf)] 53 | 16. *Shen Y, Sun J, Li X, et al.* **Legal article-aware end-to-end memory network for charge prediction**[C]//Proceedings of the 2nd International Conference on Computer Science and Application Engineering. 2018: 1-5. [[PDF](https://dl.acm.org/doi/abs/10.1145/3207677.3278068)] 54 | 17. *Medvedeva M, Vols M, Wieling M.* **Judicial decisions of the European Court of Human Rights: Looking into the crystal ball**[C]//Proceedings of the Conference on Empirical Legal Studies. 2018. 55 | 18. *Undavia S, Meyers A, Ortega J E.* **A comparative study of classifying legal documents with neural networks**[C]//2018 Federated Conference on Computer Science and Information Systems (FedCSIS). 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[[PDF](https://www.researchgate.net/publication/339488726_Prison_Term_Prediction_on_Criminal_Case_Description_with_Deep_Learning)] 117 | 3. *Shaikh R A, Sahu T P, Anand V.* **Predicting Outcomes of Legal Cases based on Legal Factors using Classifiers**[J]. Procedia Computer Science, 2020, 167: 2393-2402. 118 | 4. *Xu N, Wang P, Chen L, et al*. **Distinguish Confusing Law Articles for Legal Judgment Prediction**[J]. arXiv preprint arXiv:2004.02557, 2020. 119 | 5. *Garofalakis J, Plessas K, Plessas A, et al.* **Application of an Ecosystem Methodology Based on Legal Language Processing for the Transformation of Court Decisions and Legal Opinions into Open Data**[J]. Information, 2020, 11(1): 10. 120 | 6. *Polo F M, Ciochetti I, Bertolo E.* **Predicting Legal Proceedings Status: an Approach Based on Sequential Text Data**[J]. arXiv preprint arXiv:2003.11561, 2020. 121 | 7. *Polpinij J, Bheganan P, Luaphol B, et al*. **Identifying of Decision Components in Thai Civil Case Decision by Text Classification Technique**[C]//International Conference on Computing and Information Technology. Springer, Cham, 2020: 11-20. 122 | 8. *Peng, D., Wu, Q.* **LegalCap: a model for complex case discrimination based on capsule neural network.** *Soft Comput* (2020). 123 | 9. *Huang Y, Yu Z, Guo J, et al.* **Legal public opinion news abstractive summarization by incorporating topic information**[J]. International Journal of Machine Learning and Cybernetics, 2020: 1-12. 124 | 10. *Zhong H, Xiao C, Tu C, et al.* **How Does NLP Benefit Legal System: A Summary of Legal Artificial Intelligence**[J]. arXiv preprint arXiv:2004.12158, 2020. 125 | 126 | 127 | 128 | 129 | 130 | ---------- 131 | ## Competition ## 132 | 133 | - **让AI当法官(BDCI2017)**, 2017年， 举办单位（明略数据 & 中国计算机学会）[[Detail](https://www.datafountain.cn/competitions/277/details)] 134 | - **"中国法研杯" ---- 司法人工智能挑战赛(CAIL2018)**，2018年，举办单位（中国司法大数据研究院、中国中文信息学会、中电科系统团委联合清华大学、清华大学、北京大学、中国科学院软件研究所）[[Detail](http://cail.cipsc.org.cn/)] [[Blog-1](https://bamtercelboo.github.io/2018/10/17/AI_Law/)] [[Blog-2](http://www.52nlp.cn/%e5%a6%82%e4%bd%95%e7%94%a8%e6%b7%b1%e5%ba%a6%e5%ad%a6%e4%b9%a0%e5%81%9a%e5%a5%bd%e9%95%bf%e6%96%87%e6%9c%ac%e5%88%86%e7%b1%bb%e4%b8%8e%e6%b3%95%e5%be%8b%e6%96%87%e4%b9%a6%e6%99%ba%e8%83%bd%e5%8c%96)] 135 | - **"中国法研杯" ---- 司法人工智能挑战赛(CAIL2019)**，2019年 136 | - **"中国法研杯" ---- 司法人工智能挑战赛(CAIL2020)**，2020年 137 | 138 | ---------- 139 | 140 | 141 | 142 | ## Online System ## 143 | - **法信(智答版)**, 人民法院出版集团、中国司法大数据研究院和北京国双科技有限公司， ---> [[法信(智答版)](http://www.lawiask.com/#/)] 144 | 145 | - **觅律搜索**, 北京幂律智能科技有限责任公司， ---> [[觅律so.legal](https://solegal.cn/)] 146 | 147 | - **度小法---法律智库**, 百度， ---> [[度小法](https://duxiaofa.baidu.com/)] 148 | 149 | - **北大法宝**, 北京北大英华科技有限公司、北京大学法制信息中心， ---> [[北大法宝](http://www.pkulaw.cn/)] 150 | 151 | - **法律智能判决系统**, 黑龙江大学自然语言处理实验室， ---> [[法律智能判决系统](http://47.95.219.130/)] 152 | 153 | - **法小飞**, 哈工大讯飞联合实验室， ---> [法小飞-微信公众号] 154 | 155 | - **秘塔翻译及智能检索**, 秘塔科技， ---> [[秘塔翻译及智能检索](https://metaso.cn)] 156 | 157 | - **包小黑法律咨询**, 杭州实在智能科技有限公司， ---> [[包小黑法律咨询](https://110.ai-indeed.com/)] 158 | 159 | 160 | 161 | 162 | --------------------------------------------------------------------------------