The premier toolkit for modern legal practice

Research, document review, forms, timekeeping, and more

Built by lawyers, for lawyers.

Transform Your Firm into a High-Efficiency Billing Machine

Counsel Stack provides easy-to-use tech infrastructure for in house counsel and growing law firms — making your team smarter, uncovering hidden legal insights, and driving billable hours.

Legal Research

We equipped Counsel Stack's research assistant with tools for case law, legislation, regulatory and policy analysis.
Try these commands:

- Search Caselaw: [topic]
- Search Legislation: [topic]
- Search Regulations: [topic]
- Search Policy: [topic]
- Verify Citation: [citation]
- Extract [info] from document

Citation Verifier

Language models hallucinate legal information 58% of the time with ChatGPT 4 and 88% with Llama 2. Even leading AI tools designed for lawyers hallucinate between 17% and 33% of the time.

Our citation tool is backed by tens of millions of reporter citations, helping you avoid costly mistakes.

Form Auto-Complete

Streamline complex form data entry with our proprietary PDF form processing and intelligent field mapping technology.

Our advanced auto-completion system can intelligently populate fields, while real-time editing capabilities let you revise and interact with forms effortlessly.
Launch Form Tool

Multi-Document Analysis

Analyze multiple documents simultaneously with our proprietary multi-document analysis system. Using OCR and computer vision, we process documents traditional AI can't read.

Visualize complex information through custom-generated mind maps and sequence diagrams, and engage with a conversation interface tailored to your documents.
Analyze Documents Now

Timekeeping and Billing

Monitor real-time earnings, customize billable rates, and generate detailed reports.

Our comprehensive activity tracker records page history and search terms, providing a thorough log of your work.
Start Earning
"Damn! That is a good answer. 😊"

- Law School Professor
"I would recommend Counsel Stack to any litigator like myself, but also to any in-house counsel, compliance personnel, or journalist."

- Attorney
"So far it’s been amazing, I’ve been plugging old cases that I’ve already read in - the briefs and answers it gives me are spot on."

- Law School Student

We're more than an application.

We partner with ambitious attorneys and forward-thinking law firms to create custom workflows.
Contact Us
1

Timekeeper

2

Document Review

3

Regulatory Compliance

4

Caselaw Research

Attorneys and AI

Frequently asked questions

Common questions about language models in legal practice
Why should lawyers care about language models?
Lawyers should be interested in language models because they offer significant advantages in legal research, align with ABA guidance on maintaining competence, and enhance cost efficiency. These models can automate and streamline many routine tasks, freeing lawyers to focus on more complex aspects of their cases.
What is the ABA's stance on AI and legal practice?
The ABA has adopted resolutions (604, 608, 609, 610) emphasizing responsible AI development and use, promoting ethical, transparent, and accountable deployment of AI in the legal sector. These resolutions also focus on enhanced cybersecurity, guidelines for organizations engaging in AI, and integrating cybersecurity education into law school curricula.
How do large language models work?
Language models are next word predictors. Large language models like GPT-4, Llama 2, and Mistral utilize training data, attention, and transformers. These mechanisms help the model capture nuanced semantic relationships between words and sentences, enabling them to generate coherent text.
How can litigators benefit from using language models?
Litigators can benefit significantly from language models by leveraging them for efficient legal research, strategic development, jury analysis, and enhancing overall litigation planning. These tools can streamline various aspects of legal practice, making processes more efficient and data-driven.
How do language models increase capital efficiency in legal practice?
Properly developed language models enhance capital efficiency in legal practice by accelerating tasks and making sophisticated legal analysis more accessible. This is particularly beneficial for less experienced practitioners, leveling the playing field in terms of resource availability and expertise.
How can response quality be improved when using language models in legal contexts?
Enhancing response quality with language models in legal contexts involves prompt engineering and grounding techniques, which provide the language model with necessary contextual information. This approach ensures clear, context-aware, and accurate language model responses, effectively utilizing the model's reasoning capabilities over the provided knowledge.
What is prompt engineering in the context of language models and law?
Prompt engineering involves designing specific queries or instructions to guide AI models towards generating more accurate and contextually appropriate responses. It's a critical skill for legal professionals using AI, ensuring that the technology aligns with the specific needs and nuances of legal cases.
What are some basic prompting techniques to improve response quality in language models
A few basic techniques to improve response quality in language models include (1) specifying clear task formats and tone, (2) encouraging step-by-step thinking through a chain of thought approach, and (3) persona prompting. These techniques help in eliciting more precise and relevant responses.
What is "grounding" a language model?
Grounding a language model is connecting it to a reliable datasource. Grounding with Retrieval Augmented Generation (RAG) helps mitigate hallucinations while enhancing the model's accuracy. This process involves providing the language model with a rich context or specific information to base its responses on, leading to more accurate and reliable outputs.
What are hyper parameters in language models, and how do they change outputs?
Hyperparameters in language models, such as temperature, token window, and penalties, significantly influence the model's outputs. The temperature setting affects the creativity or randomness of the response, the token window determines the scope of the output, and penalties help prevent repetitive or redundant phrases. Adjusting these settings allows legal professionals to tailor the language model's responses, ensuring they are suitable for the specific requirements of brainstorming, legal research, drafting, or analysis.