About Kira Systems
Kira Systems is a leading AI contract analysis platform used by major law firms and professional services organisations for automated clause extraction, due diligence review, and contract analysis at scale. Its machine learning models are trained to identify hundreds of contract provisions and can be further trained on firm-specific clause types using a proprietary Quick Study feature. Kira is widely trusted in the legal industry for high-stakes due diligence on large transaction document sets.
Best for:
Law firms and professional services firms conducting large-scale due diligence and contract review on complex transactions.
Key Features
- Automated clause extraction from contracts
- Due diligence document review
- Custom provision training with Quick Study
- Multi-language contract analysis
- Detailed review reports and exports
Pros & Cons
Pros
- Trusted by top-tier law firms and Big Four accounting firms globally
- Quick Study enables custom training without data science expertise
- Handles high-volume due diligence projects efficiently
Cons
- Higher price point targets large professional services firms
- Requires initial training investment to maximise accuracy for specific use cases
User Reviews
No reviews yet. Be the first to leave a review!
Log in to leave a review.
AI Glossary
The simulation of human intelligence in machines programmed to think, learn, and problem-solve. AI encompasses machine learning, natural language processing, computer vision, and more.
A deep learning model trained on vast text datasets to understand and generate human-like language. Examples include GPT-4, Claude, and Gemini.
AI systems that create new content - text, images, audio, video, or code - based on patterns learned during training rather than retrieving existing data.
The practice of designing and refining input text (prompts) to guide an AI model toward producing more accurate, relevant, or creative outputs.
A computing architecture inspired by the human brain, consisting of interconnected layers of nodes that learn to recognise patterns in data.
A branch of AI where algorithms improve automatically through experience and exposure to data, without being explicitly programmed for each task.
AI technology that enables computers to understand, interpret, and generate human language - the foundation of chatbots, translation tools, and voice assistants.
The process of further training a pre-trained AI model on a specific, smaller dataset to specialise it for a particular task or domain.
When an AI model generates plausible-sounding but factually incorrect or entirely fabricated information, often presenting it with false confidence.
The units of text (roughly 4 characters or ¾ of a word in English) that LLMs process. Model costs and context limits are measured in tokens.
The maximum amount of text (measured in tokens) an LLM can process in a single interaction - both input and output combined.
A technique that enhances LLM outputs by fetching relevant external documents at query time, grounding responses in up-to-date or proprietary data.
Numerical vector representations of text, images, or other data that capture semantic meaning, enabling AI to measure similarity and retrieve relevant content.
The process of running a trained AI model to produce predictions or outputs from new input data - distinct from the training phase.
An AI system that autonomously plans and executes multi-step tasks by combining reasoning, tool use (web search, code execution, APIs), and memory.
AI models that can process and generate multiple types of data - such as text, images, audio, and video - within a single unified system.
A large-scale AI model trained on broad data that serves as a base for many downstream applications via fine-tuning or prompting.
A pricing model where core features are available for free, with premium features, higher usage limits, or advanced capabilities offered via paid plans.
A set of protocols that allows developers to integrate an AI tool's capabilities directly into their own applications and workflows.
Zero-shot means the model handles a task without any examples; few-shot means it is given a small number of examples in the prompt to guide its response.
Tool Info
| Pricing | paid |
| Category | Productivity & Workflow |
| Views | 3 |
| Clicks | 2 |
| Added | Jun 02, 2026 |
| Source | Manual Entry |
Compare
See how Kira Systems stacks up against alternatives.
vs Mailstrom AI vs Power Automate AI vs VATReturn AI