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Automated Contract
Management

The introduction of an AI-powered legal assistant has significantly increased efficiency in contract management at the fashion company Stylara*. The project utilised Retrieval Augmentation Generation (RAG) for data preparation, resulting in a 70% increase in productivity in responding to legal queries, with the quality of answers almost reaching the level of experienced lawyers. This has improved legal certainty and considerably reduced response times.

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Automatisiertes Vertragsmanagement

Sector

Producing eCommerce

Theme

AI supported legal assistant

Cost Reduction

70%

Sector

Producing eCommerce

Theme

AI supported legal assistant

Cost Reduction

70%

Kopie von 800x600 Methode 1
The Customer

Stylara* is a nationally renowned fashion retailer known for its broad and diverse product portfolio. With a turnover of approximately 300 million euros through digital channels, the company is a significant player in the fashion industry.

Together with Stylara's AI Circle, we were able to identify numerous potential applications for AI in different areas of the business. From optimising internal processes to enhancing customer interaction, the range of use cases identified at Stylara has demonstrated that AI has the potential to increase efficiency and productivity, as well as unlock new business models and growth opportunities for the company.

(* For data protection reasons, we have anonymised the company name. Please contact us to request the company's real name and contact details.)

Herausforderung
The Challenge

Stylara's legal department was faced with the challenge of efficiently managing a large number of contracts with service providers and suppliers in the textile industry. The traditional way of managing these contractual relationships was often time-consuming and error-prone.

Faced with rapid changes in the market, Stylara recognised the urgent need for an innovative solution to efficiently manage legal information and ensure regulatory compliance.

Herangehensweise
Our Approach

After consulting with Talentship AI experts, Stylara decided to develop an AI-powered legal assistant to address the challenges. The approach began with comprehensive data collection to create a solid data foundation for training the AI system. Subsequently, the team employed the technique of Retrieval Augmentation Generation (RAG) to process the data and enable the AI to efficiently search, understand, and generate relevant legal information.

This innovative approach aimed to significantly increase the productivity of the legal department, improve the quality of contract management, and shorten response times to legal inquiries. By leveraging artificial intelligence, Stylara was able to optimise legal communication and ensure continuous compliance with rapidly changing regulations.

Automatisiertes Vertragsmanagement 4
Agile Development & Implementation

The agile development of the AI-powered legal assistant at Stylara was iterative and encompassed several key components:

✔️ Intent Classification: This enabled the system to identify the intentions behind user queries, allowing for targeted responses.
✔️ Information Retriever: This component linked queries to a legal database and filtered relevant information to provide precise answers, resulting in an 80% increase in the efficiency of the legal department.
✔️ Content Information System: This system extracted precise information from a comprehensive database.
✔️ Knowledge Base: This collected all contract-related information to provide informed answers to specific legal questions.

This process facilitated quick adjustments and continuous improvements.

Ergebnisse
The Results

The introduction of the AI-powered legal assistant at Stylara led to significant improvements within the legal department.

✔️ Firstly, productivity in handling legal inquiries increased by 80%, and the quality of responses nearly reached the level of experienced lawyers. This resulted in a marked improvement in legal certainty and communication quality.

✔️ Secondly, the system enabled substantial reductions in response times through quick and precise information access. In summary, these developments have enhanced business partner satisfaction, optimised internal efficiency and compliance adherence by providing well-founded, legally sound answers to complex inquiries.

Testimonial
What Our Customer Says

"The implementation of the AI-powered legal assistant has revolutionised our efficiency in contract management. We are witnessing a significant increase in productivity and the quality of our legal communication, which now matches the level of experienced lawyers. This has not only dramatically improved our response times but also significantly increased our business partners' satisfaction and compliance security. It is impressive how precisely and quickly the legal assistant responds to complex queries, consistently providing reliable and well-founded answers."

TEAM

WHO WE ARE

Talentship is backed by a team of highly experienced CTOs from well-known digital companies in Germany, and a team of 100 top-notch developers. With over 25 years of experience in data, software development and infrastructure, we have developed numerous AI applications and models since 2018, ie.g in cooperation with the Fraunhofer Institute. In 2023, we have successfully implemented AI across the board in several mid-sized companies. Few can seriously claim this today.

1200x800 Sushel Bijganath
01
How does artificial intelligence work in contract management?

Artificial intelligence (AI) is a core area of computer science. It enables computers to learn and develop solutions independently, based on analysis and learning from a wide data base. AI technologies are already present in our daily lives, for example through facial recognition, voice assistants like Siri, navigation systems, and robotic vacuum cleaners. In the field of customer service, AI is often manifested in the form of chatbots, which are deployed on websites or in messaging services and are continuously improved through machine learning. These AI chatbots can answer customer inquiries, collect customer data, search company datasets for solutions to similar problems, and learn from each interaction to continuously increase their efficiency.

Our clients achieved a payback in just three months through the use of AI in contract management.

02
What are the benefits of AI in contract management?

The deployment of artificial intelligence (AI) in contract management offers a number of significant advantages, including the automation of processes, an increase in efficiency, and an improvement in accuracy. AI technologies facilitate the rapid creation and analysis of contracts by learning from historical data and extracting relevant information. This results in more efficient contract drafting and risk assessment. Furthermore, AI optimises compliance monitoring by automatically detecting deviations and potential violations, thereby minimising legal risks. Furthermore, AI optimises document management by enabling structured archiving and quick access to contract documents. In summary, AI enables more precise and faster decision-making, greater transparency in contract management, and enhanced responsiveness to changing market conditions.

An AI-powered legal assistant not only enhances satisfaction among business partners but also optimises internal company efficiency. Previously time-consuming queries can now be answered in a more efficient manner by a chatbot.

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Please select a suitable day and time in the calendar below.

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Provide Context

Please share what is on your mind.

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We will discuss your current challenge – from CTO to CTO.

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