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Case Studies

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Legal Insights And Doc Generation

The company leveraged Abacus.AI's generative AI capabilities to automate and streamline its legal document generation process

Problem

The company's legal team spent significant time manually drafting repetitive legal documents and position statements, which reduced efficiency and increased operational costs

Solution

Implemented Abacus.AI's LLM solution, trained on the company's legal templates and historical documents to automatically generate high-quality legal correspondence and position statements

Results

Document generation time was reduced significantly

document creation time went down by 70%

generated an average document size of 50 pages

queries resolved with 95% accuracy

AI BRAIN

Complex Doc Generation

The law firm utilized Abacus.AI's generative AI capabilities to automate the creation of demand letters

Problem

Manual creation of demand letters was time-consuming and resource-intensive, requiring significant attorney and paralegal time

Solution

Implemented Abacus.AI's LLM solution and trained on legal templates to generate customized demand letters automatically

Results

Successfully demonstrated the ability to generate accurate and legally compliant demand letters

improved productivity by 20%

consistent legal language and formatting

reduced draft creation time by 80%

AI BRAIN

Complex Insights And AI Decision Making

The company used Abacus.AI to process court decisions and self-enabled the ability to aggregate findings from court decisions

Problem

The company's legal team was spending significant time manually drafting repetitive legal documents and position statements, leading to reduced efficiency and increased operational costs

Solution

Implemented Abacus.AI's LLM solution trained on the company's legal templates and historical documents to generate high-quality legal correspondence and position statements automatically

Results

Achieved significant time savings on document creation

reduced document creation time 70%

reduced operational costs by 35%

improved employee productivity by 20%

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