Streamlining contract creation with generative AI, accelerating legal tech.
In the legal industry, accuracy and efficiency are required. Particularly in the creation of contracts, the precision of clauses, referencing past case law and similar cases, and prompt responses are crucial. Typos and misinterpretations can lead to significant legal risks. LLFarM utilizes generative AI to streamline the contract creation process. 【Use Cases】 - Drafting contracts - Extracting information from past contracts - Searching and referencing clauses - Summarizing contract contents 【Benefits of Implementation】 - Reduction in contract creation time - Risk mitigation through reduced errors - Effective utilization of knowledge - Significant improvement in operational efficiency
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basic information
【Features】 - Supports contracts in PDF and Word formats - Preprocessing according to the content and layout of documents - High-precision extraction of clauses and key terms - Search and reference of past contracts and case law using RAG - Generative AI provides answers based on evidence - Capable of utilizing cloud LLMs such as GPT and Gemini - Can be built in cloud environments like Azure and AWS 【Our Strengths】 We have many years of experience in AI development and system development across various industries. We provide optimal solutions tailored to our customers' needs.
Price information
- Prices will be individually quoted based on the content and requirements of the target business. - Prices may vary depending on the types and quantities of documents handled and the necessary AI functions. - Adjustments can be made based on the cloud configuration and the presence or absence of UI development. - We flexibly accommodate from PoC and prototype development to full-scale implementation. - We will propose the optimal configuration based on your requests and budget. - Please feel free to contact us for more details.
Delivery Time
※The delivery time may vary depending on the specifications and volume, but we can respond promptly.
Applications/Examples of results
Case 1: Secure System Development Using Local LLM To handle business information that cannot be shared externally, we developed a secure AI system utilizing Local LLM. It was built with a user-friendly UI, assuming internal use. Case 2: Comprehensive Development Including RAG, LLM, and UI We designed and developed a long-term business support system that combines customer-specific data with RAG, frontier LLMs like GPT, and UI development. Case 3: High-Precision Reading of Special Documents By extracting tables, text, and images from special PDFs, forms, and image documents, and combining preprocessing, we achieved high-precision document analysis using LLM. *For more details, please download the PDF or feel free to contact us.*
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Company information
Our company is engaged in various artificial intelligence-related businesses, including artificial intelligence development, artificial intelligence consulting, artificial intelligence seminars, and artificial intelligence application development. Since 2013, we have shifted to Deep Learning, working on improvements to CNNs and RNNs, and by 2015, we developed our own model using RNNs. Additionally, starting in 2016, we expanded our focus to deep reinforcement learning, developing numerous simulation models and robot models. Please feel free to contact us if you have any inquiries.
