AI Boosts Efficiency, Lowers Costs in Construction Law

A construction law firm struggled with managing massive amounts of duplicate data during eDiscovery, leading to high client costs. They implemented an AI-powered legal technology platform that eliminated duplicate data and summarized key documents. This resulted in reduced costs for clients and increased efficiency for lawyers.

Client:

Headquartered in Austin, Allensworth is a construction law firm operating in Texas. With their establishment dating back to 1995, they boast a group of highly knowledgeable attorneys who are experts in tackling complicated construction disputes. The firm represents an extensive range of clients, including owners, contractors, subcontractors, design professionals, and insurance companies. Allensworth is committed to providing its clients with high-quality, cost-effective legal representation.

Problem Statement:

● High costs: The massive volume of data with duplicates necessitated a significant investment of time and resources for e-discovery, leading to high legal fees for clients.

● Inefficiency:The reliance on manual data review for e-discovery resulted in a slow and cumbersome process, hindering the overall efficiency of legal proceedings.

● Duplicates: The presence of duplicate data in construction case files has needlessly complicated the e-discovery process, resulting in an increased workload. This has made it challenging to effectively identify and extract relevant information.

● Loss of competitiveness: Failure to adopt modern e-discovery technologies put the firm at a disadvantage compared to competitors who utilized more efficient and cost-effective solutions, potentially leading to a loss of clients and market share.

Results:

Reduced legal costs by summarizing key documents and eliminating duplicate document review.

Enhanced research capabilities by providing answers to open-ended questions with citations.

Potential for predictive analytics to gain a strategic advantage.

AI Solution:

Facing massive amounts of data with duplicates in construction cases, Allensworth sought an AI solution to streamline the eDiscovery process and reduce costs for clients.

They implemented Everlaw, a platform offering functionalities like:

Deduplication: Eliminating unnecessary copies of the same document, saving time and money spent on reviewing irrelevant data.

Generative AI: Tools like EverlawAI Assistant can summarize key documents, draft case narratives, and answer open-ended legal questions with citations –- tasks that used to take lawyers significantly longer.

This not only benefits lawyers by increasing efficiency, but also directly reduces legal fees for clients who wouldn’t be charged for unnecessary reviewing time.

References:

1. Allensworth Helps Drive Growth With Next Generation of Legal Technology


Industry: Legal
Vendor: Everlaw
Client: Allensworth