AI Knowledge Base for Legal: Instant Answers & Insights

AI-Powered Conversations

The KnowledgeBot is built on OpenAI’s ChatGPT-4o, a state-of-the-art language model to interpret and respond to natural language queries, and seamlessly integrates with your Slack instance.

Internal Document Integration

Admin Users and Core Lead Users can easily upload and maintain a database of internal documents (such as HR guidelines, security policies, etc.) that the KnowledgeBot references to provide customized, policy-aligned answers.

Near-Instant Responses

The KnowledgeBot provides near real-time*, consistent answers to common legal queries, reducing response times and improving client satisfaction. KnowledgeBot references the document where the response was located so that the requester can confirm the accuracy of the response.

*Response times may vary slightly depending on the complexity of the question and the amount of data the KnowledgeBot needs to process in order to provide an accurate answer

Multi-Agent Setup for Enhanced Efficiency

The KnowledgeBot operates with two specialized AI agents, each optimized for a specific task: one summarizes documents, while the one specializes in answering user queries. This independent, task- specific setup ensures responses are precise, timely, and tailored to users’ needs.

Access controls

Only Streamline AI Admins and Core Lead Users can access and upload policy documents within the Knowledge library.

How it works

KnowledgeBot significantly reduces the need for human intervention in answering repetitive queries, enabling legal professionals to focus on high-value, strategic tasks.

The KnowledgeBot references your internal documents uploaded to Streamline AI’s Knowledge library to provide accurate, context-specific answers in real-time.

Step 1

Questions for Legal

System admins can easily upload internal FAQs, policy documents and any relevant materials to the Knowledge library.

Step 2

AI Interprets and Understands the Documents

The KnowledgeBot leverages OpenAI’s ChatGPT-4o to interpret and understand the uploaded documents.

Step 3

Interactive Querying

Users can ask questions in natural language within Slack and query the KnowledgeBot using the at-mention command. KnowledgeBot will then provide relevant answers based on the uploaded documents.

Technologies

OpenAI GPT Technology

KnowledgeBot is powered by OpenAI’s ChatGPT-4o, which processes natural language inputs to generate intelligent, human-like responses.

Document Parsing and Retrieval

The system processes the uploaded documents and stores them in a vector database capable of both keyword and semantic search.

Conversation processing

Each conversation has its own ephemeral LLM assistant, which has access to this vector database. Responses are then generated using retrieval-augmented generation (RAG), so the LLM combines its internal understanding with the external knowledge base to improve its responses.

Data Privacy and Use Policy

Data Access and Control

Chat interactions and document uploads are stored in Streamline AI’s account within OpenAI, which is necessary in order for the KnowledgeBot to accurately respond to user queries. Streamline AI controls this data and isable to delete or make changes to the data without OpenAI’s involvement. Customer data is stored in its own individual container within OpenAI so your data will not be commingled with any other customer data.

AI Training

OpenAI does not use the data provided by your organization to train or improve its language model.

Security Practices

Any communication with the KnowledgeBot within Slack is encrypted by Slack according to their security policies. You retain full ownership of any internal documents uploaded to Streamline AI, and they are not used for any purpose beyond responding to your team’s questions.

Frequently Asked Questions

What type of documents can I upload?

You can upload a wide range of documents, including legal FAQs, policies, contracts, and manuals. Supported formats include DOC, DOCX, PDF, DDTX, HTML, MD, TXT formats.

How does the KnowledgeBot ensure accurate answers?

The KnowledgeBot pulls directly from your internal document repository, ensuring responses areaccurate and relevant to your business.

How secure is the data?

Data within Streamline AI is compliant with industry-standard encryption and restricted access controls to ensure that sensitive legal information is protected at all times. Any data within Slack is subject to Slack’s encryption standards.

Will my data be used to train OpenAI’s models?

No. OpenAI does not use the data provided by your organization to train or improve its models. Your data is kept secure, and no proprietary information is retained.

How easy is it to set up and use?

The KnowledgeBot can be set up in a few simple steps.

The System admin enables the Knowledge integration in Organization Settings.
The relevant documents are uploaded to the knowledge library by either an Admin or a Core Lead User.
The KnowledgeBot is added to your Slack instance and invited to the relevant Slack channel.
The KnowledgeBot can then be invoked by typing the @ symbol followed by knowledgebot (or another name you choose) followed by the message. E.g., “@knowledgebot How do I submit an MSA request?”

Streamline AI KnowledgeBot and Knowledge Integration