Find Precedents

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

Select Source Case
Source Case: Public Contracting Practices

Case Number: 24-03

Year: 2025

Found 10 Precedents

Ranked by weighted similarity score
Matching Methods:
Cosine Semantic embedding similarity Jaccard Set intersection / union Categorical Exact match scoring
Similarity Components
Facts Similarity Cosine
23%
Discussion Similarity Cosine
59%
Provision Overlap Jaccard
100%
Outcome Match Categorical
100%
Subject Tags Jaccard
100%
Principle Tensions Jaccard
0%
What They Share

Provisions: I.1 II.1.a

Topics: Employer Faithful Agents and Trustees

Outcome: Both Ethical

Pattern: Transfer vs Unclear

Similarity Components
Facts Similarity Cosine
52%
Discussion Similarity Cosine
59%
Provision Overlap Jaccard
100%
Outcome Match Categorical
0%
Subject Tags Jaccard
100%
Principle Tensions Jaccard
0%
What They Share

Provisions: I.1 II.1.a

Topics: Public Statements and Criticism Unethical Practice by Others

Outcome: None vs Unethical

Pattern: Transfer vs Stalemate

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: Transfer vs Stalemate

Similarity Components
Facts Similarity Cosine
35%
Discussion Similarity Cosine
56%
Provision Overlap Jaccard
11%
Outcome Match Categorical
100%
Subject Tags Jaccard
0%
Principle Tensions Jaccard
0%
What They Share

Provisions: I.1

Topics: Employer Faithful Agents and Trustees Public Statements and Criticism

Outcome: Both Ethical

Pattern: Both Transfer

Similarity Components
Facts Similarity Cosine
37%
Discussion Similarity Cosine
58%
Provision Overlap Jaccard
25%
Outcome Match Categorical
50%
Subject Tags Jaccard
0%
Principle Tensions Jaccard
0%
What They Share

Provisions: II.1.a

Topics: Faithful Agents and Trustees

Outcome: None vs Unclear

Pattern: Both Transfer

Similarity Components
Facts Similarity Cosine
55%
Discussion Similarity Cosine
59%
Provision Overlap Jaccard
12%
Outcome Match Categorical
50%
Subject Tags Jaccard
0%
Principle Tensions Jaccard
0%
What They Share

Provisions: I.1

Topics: Employer Faithful Agents and Trustees

Outcome: None vs Unclear

Pattern: Transfer vs Stalemate

Similarity Components
Facts Similarity Cosine
26%
Discussion Similarity Cosine
59%
Provision Overlap Jaccard
25%
Outcome Match Categorical
50%
Subject Tags Jaccard
0%
Principle Tensions Jaccard
0%
What They Share

Provisions: I.1 II.1.a

Topics: Employer Faithful Agents and Trustees Public Statements and Criticism +1

Outcome: None vs Mixed

Pattern: Both Transfer

Similarity Components
Facts Similarity Cosine
66%
Discussion Similarity Cosine
56%
Provision Overlap Jaccard
0%
Outcome Match Categorical
50%
Subject Tags Jaccard
0%
Principle Tensions Jaccard
0%
What They Share

Topics: Public Statements and Criticism

Outcome: None vs Mixed

Pattern: Transfer vs Stalemate

Similarity Components
Facts Similarity Cosine
58%
Discussion Similarity Cosine
57%
Provision Overlap Jaccard
0%
Outcome Match Categorical
50%
Subject Tags Jaccard
0%
Principle Tensions Jaccard
0%
What They Share

Topics: Employer Faithful Agents and Trustees

Outcome: None vs Mixed

Pattern: Both Transfer

Similarity Components
Facts Similarity Cosine
64%
Discussion Similarity Cosine
63%
Provision Overlap Jaccard
17%
Outcome Match Categorical
0%
Subject Tags Jaccard
0%
Principle Tensions Jaccard
0%
What They Share

Provisions: I.1

Outcome: None vs Unethical

Pattern: Transfer vs 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