Find Precedents

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

Select Source Case
Source Case: Competence in Design Services

Case Number: 23-1

Year: 2023

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
59%
Discussion Similarity Cosine
68%
Provision Overlap Jaccard
9%
Outcome Match Categorical
100%
Subject Tags Jaccard
11%
Principle Tensions Jaccard
0%
What They Share

Provisions: II.2

Topics: Competence

Outcome: Both Unethical

Pattern: Stalemate vs Transfer

Similarity Components
Facts Similarity Cosine
58%
Discussion Similarity Cosine
55%
Provision Overlap Jaccard
10%
Outcome Match Categorical
100%
Subject Tags Jaccard
10%
Principle Tensions Jaccard
0%
What They Share

Provisions: II.5.a

Topics: Misrepresentation/Omission of Facts

Outcome: Both Unethical

Pattern: Both Stalemate

Similarity Components
Facts Similarity Cosine
42%
Discussion Similarity Cosine
58%
Provision Overlap Jaccard
11%
Outcome Match Categorical
100%
Subject Tags Jaccard
12%
Principle Tensions Jaccard
0%
What They Share

Provisions: II.5.a

Topics: Misrepresentation/Omission of Facts

Outcome: Both Unethical

Pattern: Both Stalemate

Similarity Components
Facts Similarity Cosine
55%
Discussion Similarity Cosine
62%
Provision Overlap Jaccard
0%
Outcome Match Categorical
100%
Subject Tags Jaccard
0%
Principle Tensions Jaccard
0%
What They Share

Outcome: Both Unethical

Pattern: Both Stalemate

Similarity Components
Facts Similarity Cosine
58%
Discussion Similarity Cosine
59%
Provision Overlap Jaccard
0%
Outcome Match Categorical
100%
Subject Tags Jaccard
0%
Principle Tensions Jaccard
0%
What They Share

Outcome: Both Unethical

Pattern: Both Stalemate

Similarity Components
Facts Similarity Cosine
45%
Discussion Similarity Cosine
51%
Provision Overlap Jaccard
8%
Outcome Match Categorical
100%
Subject Tags Jaccard
18%
Principle Tensions Jaccard
0%
What They Share

Provisions: I.2

Topics: Competence Qualifications for Work

Outcome: Both Unethical

Pattern: Both Stalemate

Similarity Components
Facts Similarity Cosine
54%
Discussion Similarity Cosine
55%
Provision Overlap Jaccard
0%
Outcome Match Categorical
100%
Subject Tags Jaccard
8%
Principle Tensions Jaccard
0%
What They Share

Topics: Misrepresentation/Omission of Facts

Outcome: Both Unethical

Pattern: Stalemate vs Transfer

Similarity Components
Facts Similarity Cosine
46%
Discussion Similarity Cosine
49%
Provision Overlap Jaccard
0%
Outcome Match Categorical
100%
Subject Tags Jaccard
0%
Principle Tensions Jaccard
0%
What They Share

Topics: Misrepresentation/Omission of Facts

Outcome: Both Unethical

Pattern: Both Stalemate

Similarity Components
Facts Similarity Cosine
66%
Discussion Similarity Cosine
61%
Provision Overlap Jaccard
0%
Outcome Match Categorical
50%
Subject Tags Jaccard
14%
Principle Tensions Jaccard
0%
What They Share

Topics: Misrepresentation/Omission of Facts

Outcome: None vs Mixed

Pattern: Both Stalemate

Similarity Components
Facts Similarity Cosine
55%
Discussion Similarity Cosine
63%
Provision Overlap Jaccard
9%
Outcome Match Categorical
50%
Subject Tags Jaccard
0%
Principle Tensions Jaccard
0%
What They Share

Provisions: I.6

Outcome: None vs Unclear

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