Find Precedents

Multi-factor similarity search using provision overlap, semantic similarity, and outcome alignment.

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Source Case: Post-Public Employment - City Engineer Transitioning to Consultant

Case Number: 23-3

Year: 2023

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Found 10 Precedents

Ranked by weighted similarity score
Matching Methods:
Cosine Semantic embedding similarity Jaccard Set intersection / union Categorical Exact match scoring
45% Similar
Similarity Components
Facts Similarity Cosine
62%
Discussion Similarity Cosine
50%
Provision Overlap Jaccard
36%
Outcome Match Categorical
50%
Subject Tags Jaccard
67%
Principle Tensions Jaccard
0%
What They Share

Provisions: I.4 I.6 II.5.b +1

Topics: Employer Faithful Agents and Trustees Confidential Information +1

Outcome: None vs Mixed

Pattern: Stalemate vs Transfer

41% Similar
Similarity Components
Facts Similarity Cosine
72%
Discussion Similarity Cosine
61%
Provision Overlap Jaccard
0%
Outcome Match Categorical
100%
Subject Tags Jaccard
0%
Principle Tensions Jaccard
0%
What They Share

Topics: Employer Faithful Agents and Trustees Unfair Competition

Citations: Case 58-1

Outcome: Both Ethical

Pattern: Stalemate vs Transfer

39% Similar
Similarity Components
Facts Similarity Cosine
50%
Discussion Similarity Cosine
64%
Provision Overlap Jaccard
23%
Outcome Match Categorical
50%
Subject Tags Jaccard
27%
Principle Tensions Jaccard
0%
What They Share

Provisions: I.4 I.6 II.4.a

Topics: Employer Faithful Agents and Trustees Conflict of Interest

Citations: Case 14-8

Outcome: None vs Unclear

Pattern: Both Stalemate

35% Similar
Similarity Components
Facts Similarity Cosine
40%
Discussion Similarity Cosine
45%
Provision Overlap Jaccard
6%
Outcome Match Categorical
100%
Subject Tags Jaccard
12%
Principle Tensions Jaccard
0%
What They Share

Provisions: I.4

Topics: Employer Faithful Agents and Trustees

Outcome: Both Ethical

Pattern: Stalemate vs Transfer

33% Similar
Similarity Components
Facts Similarity Cosine
27%
Discussion Similarity Cosine
55%
Provision Overlap Jaccard
0%
Outcome Match Categorical
100%
Subject Tags Jaccard
0%
Principle Tensions Jaccard
0%
What They Share

Topics: Political Contributions, Gifts, Commissions Faithful Agents and Trustees Employer

Outcome: Both Ethical

Pattern: Stalemate vs Unclear

32% Similar
Similarity Components
Facts Similarity Cosine
31%
Discussion Similarity Cosine
44%
Provision Overlap Jaccard
21%
Outcome Match Categorical
50%
Subject Tags Jaccard
30%
Principle Tensions Jaccard
0%
What They Share

Provisions: I.4 I.6 III.4

Topics: Employer Faithful Agents and Trustees Confidential Information

Outcome: None vs Unclear

Pattern: Both Stalemate

31% Similar
Similarity Components
Facts Similarity Cosine
64%
Discussion Similarity Cosine
41%
Provision Overlap Jaccard
9%
Outcome Match Categorical
50%
Subject Tags Jaccard
11%
Principle Tensions Jaccard
0%
What They Share

Provisions: II.5.b

Topics: Political Contributions, Gifts, Commissions

Outcome: None vs Mixed

Pattern: Both Stalemate

28% Similar
Similarity Components
Facts Similarity Cosine
29%
Discussion Similarity Cosine
51%
Provision Overlap Jaccard
6%
Outcome Match Categorical
50%
Subject Tags Jaccard
17%
Principle Tensions Jaccard
0%
What They Share

Provisions: I.4

Topics: Employer Faithful Agents and Trustees

Outcome: None vs Mixed

Pattern: Stalemate vs Transfer

27% Similar
Similarity Components
Facts Similarity Cosine
30%
Discussion Similarity Cosine
48%
Provision Overlap Jaccard
0%
Outcome Match Categorical
50%
Subject Tags Jaccard
29%
Principle Tensions Jaccard
0%
What They Share

Topics: Conflict of Interest Faithful Agents and Trustees

Outcome: None vs Unclear

Pattern: Stalemate vs Transfer

26% Similar
Similarity Components
Facts Similarity Cosine
62%
Discussion Similarity Cosine
52%
Provision Overlap Jaccard
9%
Outcome Match Categorical
0%
Subject Tags Jaccard
11%
Principle Tensions Jaccard
0%
What They Share

Provisions: III.6

Topics: Unfair Competition

Outcome: None vs Unethical

Pattern: Both Stalemate

References View all

Richter, M.M. & Weber, R.O. (2013). Case-Based Reasoning: A Textbook. Springer. ISBN: 978-3-642-40166-4.

Reimers, N. & Gurevych, I. (2019). Sentence-BERT: Sentence embeddings using Siamese BERT-Networks. Proceedings of EMNLP-IJCNLP 2019, pp. 3982-3992. DOI: 10.18653/v1/D19-1410

Sun, Z., Zhang, K., Yu, W., Wang, H. & Xu, J. (2024). Logic rules as explanations for legal case retrieval. Proceedings of LREC-COLING 2024, pp. 10747-10759. ACL Anthology

Wiratunga, N., et al. (2024). CBR-RAG: Case-based reasoning for retrieval augmented generation in LLMs for legal question answering. arXiv preprint arXiv:2404.04302. arXiv

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