How Law Firms Save 50% of Time with Klart AI

‍Product: Klart AI ‍

Industry: Legal / Commercial Litigation‍

User:  Mr. Pierre Alan, Barrister at Law‍

Country: France

_{Author: Elisabeth Derbyshire}

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User/Company Profile

Name: Mr. Pierre Alan

Profession: Barrister at Law specializing in Commercial Litigation

Experience: 24 years at the French National Bar

Technology Comfort: Proficient with legal databases and office software; open to new technology.

Primary Goal: Deliver robust legal arguments and keep up with evolving case law.

Problem: Legal Case Background

Parties: Plaintiff - [The Bank] vs. Defendant - [The CEO (“the Guarantor”) of XYZ Ltd]

Nature of Case: Commercial and banking law: personal guarantee for company loan

Key Legal Issues:

• Validity of guarantee agreements
• Disputed debt amount
• Defenses include improper conduct, changes to obligations, “benefit of discussion,” and guarantee disproportionality.

Preparation Workflow Overview:

• Collection of factual evidence, contracts, communications.
• Interviews & creation of a detailed case timeline.
• Legal research for statutory articles and case law.
• Evidence organization and possible expert witness identification.
• Strategic planning, risk appraisal, and alternative dispute resolution consideration.
• Drafting legal submissions consistent with procedural codes.

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Pre-Klart AI Workflow & Challenges

• Use of traditional legal databases with keyword/Boolean searches.
• Heavy reliance on manual reading, note-taking, and skimming documents.
• Time-consuming process leading to mental fatigue and long working hours.
• Risks of missing obscure but critical precedents.
• Difficulties in synthesizing large volumes of complex legal information.

Solution: AI Platform Interaction & Experience

Phase 1: Setting up the user on the Klart AI platform

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Klart AI has "Granular permissions" which means user access to information is regulated by customizable controls. An administrator would likely use a dedicated admin portal to manage these permissions.

• User management: The platform offers user management capabilities, including the ability to create user accounts, assign roles, define permissions, and set up different authentication methods.
• Integration: Klart AI integrates with various tools like Google Drive, OneDrive, suggesting that user setup might also involve integrating with your company's existing user directory or single sign-on (SSO) solution.
• Agent Creation: For this case, you can create an agent using the following template:

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 1️⃣ Instructions

^{- Always respond in a professional, expert, clear, and structured manner.}

^{- Always cite relevant case law (with precise references: jurisdiction, date, and decision number if possible).}

^{- If an argument is presented against [ENTITY/CLIENT], develop a strong defense and prioritize the protection of its interests.}

^{- Never provide advice contrary to the interests of [ENTITY/CLIENT].}

^{- If information is missing, ask targeted questions to clarify the situation before responding.}

^{- Strictly respect confidentiality and professional ethics.}

^{- If you are not certain of some information, indicate it and propose avenues for verification.}

^‍

  1.1 Sub-sections

^{-  Case Law : Use legal databases to research and cite the most recent and relevant case law.}

^{-  Response Style : Be precise, factual, and always orient the answer toward defending [ENTITY/CLIENT]'s interests.}

^{-  Prohibitions : Never issue advice or opinions against [ENTITY/CLIENT] or its interests.}

^‍

 2️⃣ Reasoning Steps

^{1. Analyze the question or problem presented.}

^{2. Identify the legal and factual issues.}

^{3. Research applicable case law and legal doctrine.}

^{4. Build a strong argument oriented toward defending [ENTITY/CLIENT].}

^{5. If an opposing argument is presented, develop a detailed and relevant rebuttal.}

^{6. Present the answer in a structured manner, systematically citing case law.}

^{7. Verify that the answer is complete, reliable, and compliant with professional ethics.}

^‍

 3️⃣ Output Format

-  Subject Title 

-  Legal Analysis 

^{-  Case Law Cited  (with precise references)}

-  Defense Argument for [ENTITY/CLIENT] 

-  Conclusion and Recommendations 

^{- If needed,  Additional Questions  to clarify the request.}

^‍

 4️⃣ Examples   Example 1

 Subject:  [Insert subject of the case]  

 Legal Analysis:  [Insert legal analysis relevant to the case]  

 Case Law Cited:  [Insert case law with jurisdiction, date, and number]  

 Defense Argument for [ENTITY/CLIENT]:  [Insert argument supporting the defense]  

 Conclusion and Recommendations:  [Insert recommendations and conclusion]  

 Additional Questions:  [Insert clarifying questions if needed]

^‍

 5️⃣ Final Reminder

^{You must never cease acting until the defense of [ENTITY/CLIENT]'s interests is fully ensured, supported by arguments, and in compliance with the most recent case law.}

^‍

Phase 2: Intelligent Research & Analysis

User Input: Detailed queries including contract clauses and relevant legal principles.

AI Output:

• Prioritized and ranked relevant legal documents with relevance scores and summaries.
• Highlights of judicial interpretations and dissenting opinions.
• Jurisdictional filters for specificity.
• AI-generated concise summaries with highlighted key text sections.

User Feedback:

• Significant time savings and accuracy.
• Need for quicker cross-referencing of multiple case excerpts.

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Phase 3: Learning & Synthesis

User Action: Exploration of contract law nuances via interactive modules.

Platform Features: Instant feedback on hypothetical scenarios, links from theory to case law.

User Feedback:

• Seamless integration between research and learning.
• Engagement through interactive elements.
• Desire for enhanced search robustness within learning modules.

Outcomes & Impact

• Efficiency Improvement: Approximately 50% reduction in research time for complex cases.
• Comprehensiveness: Discovery of nuanced, previously obscure court decisions strengthening legal arguments.
• Confidence: Enhanced assurance in research completeness.
• Learning Reinforcement: AI assists with opposing arguments and drafting conclusions.

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Key Learnings & Product Recommendations

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Usage & Productivity Metrics

• Typical weekly hours: 70 (60 weekdays + 10 weekends)
• Time saved weekly: 35 hours (50%)
• Monthly time saved: Approx. 140 hours
• Annual time saved: Approx. 1,680 hours

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Assumed Cost Savings

Cost & profit impact:  The hourly rate can range from 250€ to 350€ (plus VAT) 

Average Cost Savings:  250€ x 70-hour work week = 17,500€ 

50% time & costs saved using Klart AI:

• Per week 35,000€ 
• Per month 140,000€ 
• Per year 1,680,000€ 

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User Feedback

“The most important thing for me is that Klart AI is able to respond to my opponents' arguments and write conclusions for me... it's amazing.” – Mr. Pierre Alan (pseudonym, identity confidential)

_{Note: Client permission obtained to use testimonial anonymously.}

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