1. What is a Software Engineer at Everlaw?

As a Software Engineer at Everlaw, you are not just building another SaaS application; you are engineering the technology that uncovers truth in the legal system. Everlaw operates in the complex e-discovery space, where legal teams must sift through hundreds of millions of documents to find critical evidence. Your code directly impacts the speed and accuracy with which justice is served.

This role requires you to tackle massive scale and complexity. You will work on a full-stack cloud platform that integrates sophisticated search, data visualization, and increasingly, AI and machine learning technologies. Unlike many startups where "move fast and break things" is the norm, Everlaw values code quality, maintainability, and thoughtful architecture. You will be expected to solve difficult computer science problems—such as concurrency, distributed search, and real-time collaboration—while ensuring the platform remains secure and performant for high-stakes legal proceedings.

2. Getting Ready for Your Interviews

The interview process at Everlaw is known for being rigorous and somewhat academic compared to other modern tech companies. To succeed, you must shift your mindset from purely "shipping features" to demonstrating a deep mastery of computer science first principles.

Computer Science Fundamentals This is the most critical evaluation criterion. Everlaw places a heavy emphasis on your ability to discuss and implement data structures and algorithms from scratch. You will not just be asked to solve a problem; you will be asked to derive the time and space complexity (Big O notation) for every solution you propose. A surface-level understanding is insufficient here; you must be comfortable discussing the internals of hash maps, graph traversal nuances, and bitwise operations.

Code Quality and Object-Oriented Design During practical coding sessions, interviewers look for clean, modular, and extensible code. Whether you are designing a game logic system or an API, your solution should demonstrate strong object-oriented principles. You are evaluated on how well you structure your code to be read and maintained by others, not just on whether it produces the correct output.

System Design and Scalability For mid-level and senior roles, you will be tested on your ability to design systems that handle massive datasets. You need to demonstrate how you handle concurrency, database scaling, and API design. The focus is often on "back-of-the-envelope" calculations to justify your architectural choices.

3. Interview Process Overview

The Everlaw interview process is structured to filter for strong technical fundamentals early on, followed by practical application and cultural alignment. Candidates often describe the process as "academic" or "textbook-heavy," particularly in the early stages. You should expect a process that tests your raw engineering knowledge before moving into domain-specific or behavioral discussions.

Typically, the process begins with a recruiter screen followed by a technical phone screen. This phone screen is often conducted by an engineer and is strictly technical, focusing on algorithmic questions that require verbal explanation and coding. If you pass this threshold, you will move to a coding challenge (often a take-home project or a timed asynchronous assessment like Byteboard). The final stage is a comprehensive onsite (virtual) loop that can last a full day, covering everything from live coding to system design and behavioral fit.

The timeline above illustrates the progression from initial contact to the final decision. Note the distinct separation between the "Fundamentals Screen" and the "Practical Challenge." This structure implies that you must prove your theoretical knowledge before you are given the opportunity to demonstrate your practical coding abilities. Manage your energy for the final onsite, which is a marathon session involving multiple distinct interview types.

4. Deep Dive into Evaluation Areas

The following sections detail the specific areas where Everlaw interviewers focus their assessment.

Computer Science Fundamentals (Algorithms & Data Structures)

This is the filter through which all candidates must pass. Interviewers here are looking for textbook correctness. They want to know that you understand how the tools you use work under the hood. You should be prepared to explain why a specific data structure is optimal for a given constraint.

Be ready to go over:

• Hash Tables: Deep understanding of hash functions, collision resolution, and efficiency.
• Graph Algorithms: BFS, DFS, and finding paths in Directed Acyclic Graphs (DAGs).
• Bit Manipulation: Using bitwise operators for optimization (AND, OR, XOR, shifts).
• Trees and Tries: Traversal methods and search optimizations.
• Advanced concepts: Concurrency issues, thread safety, and memory management.

Example questions or scenarios:

• "Given a directed acyclic graph (DAG), find the longest path."
• "Analyze a specific hash function and determine if it is 'good' or 'bad' based on distribution."
• "Solve a problem using bitwise operations to optimize for space."

Practical Coding & Logic

Once you pass the theory checks, you will face a practical coding challenge. Historically, Everlaw has used specific game-based problems (like implementing rules for a board game) to test object-oriented design and logical follow-through. Recently, some candidates have also reported using platforms like Byteboard or CodeSandbox.

Be ready to go over:

• Object-Oriented Design: Creating classes, interfaces, and managing state cleanly.
• Edge Cases: Handling invalid inputs or game states without crashing.
• Test-Driven Development (TDD): Writing tests for your logic is often part of the evaluation.

Example questions or scenarios:

• "Implement the logic for a simplified version of Chess (e.g., using only pawns)."
• "Build a functional Snake game within a browser-based IDE."
• "Review a technical document and implement functions based on the specifications."

System Design (Onsite)

For the onsite round, you will face system design questions that mimic the challenges Everlaw faces: handling large documents, search indexing, and real-time collaboration.

Be ready to go over:

• Scaling: How to handle millions of requests or documents.
• Concurrency: Managing multiple users editing or viewing data simultaneously.
• Database Design: Choosing between SQL and NoSQL for specific use cases.

Example questions or scenarios:

• "Design an API for a document review system that handles concurrent edits."
• "How would you architect a system to search through hundreds of millions of text files?"

5. Key Responsibilities

As a Software Engineer, your daily work at Everlaw involves complex problem-solving across the full stack. You will be responsible for building and shipping user-facing features that legal professionals rely on. This includes developing intuitive front-end interfaces for reviewing documents and robust back-end services for processing data.

You will collaborate closely with Product, Design, and DevOps teams. A significant part of the role involves handling data at scale. You might work on optimizing search queries to return results instantly across millions of rows, or you might integrate Large Language Models (LLMs) to help users summarize legal evidence.

Beyond coding, you are expected to contribute to the engineering culture. This means participating in rigorous code reviews, writing technical documentation, and mentoring other engineers. Everlaw engineers do not just implement tickets; they own features from conception to deployment, ensuring that the system remains reliable, secure, and scalable.

6. Role Requirements & Qualifications

To be competitive for this role, you need a strong foundation in computer science and the ability to apply it to modern web development.

Must-have skills:

• Strong Proficiency in General Purpose Languages: Experience with Java, Python, JavaScript/TypeScript, or C++. Everlaw is language-agnostic in interviews but relies heavily on these in production.
• Deep CS Knowledge: A Bachelor’s or Master’s in Computer Science (or equivalent) is highly valued, specifically for the understanding of algorithms, data structures, and complexity analysis.
• Distributed Systems Experience: For non-entry level roles, experience building scalable cloud-based systems is essential.
• Database Fluency: Understanding of relational databases (PostgreSQL/MySQL) and query optimization.

Nice-to-have skills:

• Frontend Frameworks: Experience with modern frontend libraries like React.
• AI/ML Experience: Familiarity with LLMs, predictive coding, or machine learning pipelines.
• Legal Tech Background: Prior experience in e-discovery or handling sensitive, compliance-heavy data.

7. Common Interview Questions

The questions below are representative of what candidates have reported. Everlaw tends to have a consistent pool of questions that focus on fundamental theory and logic. Do not memorize answers, but use these to practice your problem-solving approach.

Algorithms & Data Structures

• "Find the longest path in a Directed Acyclic Graph (DAG)."
• "Implement a hash map from scratch and discuss collision resolution strategies."
• "Determine if a provided hash function is effective. Why or why not?"
• "Solve a specific problem using only bitwise operations."
• "What is the time and space complexity of your solution? Can you optimize it?"

Coding Challenges

• "Implement a game of Chess using only pawns. Handle movement logic and capture rules."
• "Create a 'Snake' game implementation."
• "Refactor a piece of code to handle multi-threading safely."

System Design

• "Design a scalable system for uploading and indexing millions of legal documents."
• "How would you handle race conditions in a collaborative text editor?"
• "Estimate the storage requirements for a system handling X million users (back-of-the-envelope calculation)."

8. Frequently Asked Questions

Q: How difficult are the technical questions? The technical questions are often described as "medium" to "hard" on platforms like LeetCode. However, the difficulty lies in the depth of the explanation required. You cannot just provide a working solution; you must explain the mathematical underpinning of its efficiency.

Q: What is the "Chess" question I keep hearing about? This is a historic and frequently reported coding challenge at Everlaw. Candidates are asked to implement the logic for a board game (often a simplified version of Chess). The focus is on object-oriented design, code readability, and handling edge cases, rather than a complex algorithmic trick.

Q: Does Everlaw provide feedback after interviews? Generally, no. Like most tech companies, Everlaw does not provide specific feedback on rejected applications or interviews.

Q: Is the work environment remote or in-office? The role is typically based in Oakland, CA, with a hybrid schedule (often 3 days in-office). While some steps of the interview are virtual, the role expectations are generally hybrid.

Q: How long does the process take? The process can be relatively fast (2-4 weeks) if scheduling aligns, but the onsite round is intensive (up to a full day).

9. Other General Tips

Master Big O Notation

Clarify the "Textbook" Questions Some questions may feel abstract or purely academic (e.g., "Is this hash function good?"). Don't be afraid to ask clarifying questions about the context. However, realize that they are often testing your theoretical knowledge, so answer from a computer science first-principles perspective.

Code for Readability in the Take-Home If you are given the Chess or Snake challenge, do not rush to write the most clever, one-line solution. Everlaw values maintainability. Use clear variable names, break logic into helper functions, and write comments explaining your design choices.

Prepare for the Long Haul The onsite interview is an endurance test, often lasting 5 to 7 hours. Ensure you have water, snacks, and a quiet environment. The interviewers are generally described as nice and polite, but the cognitive load of a full day of technical questioning is high.

10. Summary & Next Steps

Becoming a Software Engineer at Everlaw is an opportunity to do high-impact work in a company that values engineering excellence and intellectual rigor. You will be joining a team that tackles some of the most challenging problems in data scale and search, all while serving a mission to promote justice.

To succeed, you must be prepared to demonstrate strong computer science fundamentals. Review your data structures, practice analyzing algorithm complexity, and ensure your coding style is clean and object-oriented. The process is demanding, but it is designed to find engineers who are truly passionate about the craft of software development.

The compensation at Everlaw is competitive, and the data above reflects the base salary ranges. Remember that total compensation often includes equity and benefits, which are significant given the company's growth trajectory. Approach the negotiation with a clear understanding of your market value and the specific level (Senior, Staff, etc.) you are targeting.

Good luck with your preparation. With focused study on the fundamentals and a clear head for system design, you can excel in this process.