AI-powered legal assistant for Pakistani law. Web-based GPT-style chat interface providing case law research, citation/judgment retrieval, predictive analysis, application and contract drafting, and generative AI conversations — all trained on Pakistani legal corpus. Claims to be Pakistan’s first legal AI, though AI Attorney and Lexa also serve Pakistani legal professionals (per NuCamp 2025 guide). Co-founded by Adam Jabbar (technology lawyer, author of ‘ChatGPT For Lawyers’) and Waqas Ahmed (HBS Online background, 9K LinkedIn followers). Based in Rawalpindi, Pakistan. Launched October 2024. ~5 employees, 740 LinkedIn followers. Subscription tiers for students, trainee lawyers, and practicing lawyers (specific prices not found). Built by YImagine (AI development company). Cited in academic paper (KU ScholarWorks, Munir 2025). Connection to Pakistan Supreme Court’s AI-in-law initiative (LinkedIn reference). Seminars at School of International Law. Press: Pakistan Today (May 2024), Lead Pakistan (Oct 2024). No accuracy metrics or hallucination rate data found — critical gap for a legal AI tool in a jurisdiction with less digital legal infrastructure.
Company Info
- Founded: 2023
- Team size: 1-10 employees
- HQ: United States
- Sector: Legal Services
What We Haven’t Verified
This page was assembled from publicly available information. Feature claims and workflow mappings are based on what the vendor and third-party listings publish — not hands-on testing or practitioner feedback.
Workflows
Based on practitioner evidence, Your Munshi is used in these workflows:
What practitioners struggle with
Real frustrations from legal professionals — the problems Your Munshi addresses (or should address). Sourced from practitioner reviews, Reddit threads, and case studies.
Small firm creates the same lease, will, motion to dismiss, or discovery request from scratch every time — no forms library, no document automation, and setting up templates in most PM tools requires a consultant
Legal research costs $400-600/hour in associate time and takes hours of manual digging — searching Westlaw/Lexis, reading irrelevant results, synthesizing case law. Clients increasingly refuse to pay for research hours on invoices. AI can compress a 4-hour research memo into 20 minutes, but most firms have no approved tool
Solo/small firm needs case law research but Westlaw and LexisNexis charge $300-500/month per user — either pay and bleed, negotiate a discount every year, or go without and risk missing relevant authority. Free alternatives (Google Scholar, Fastcase) have gaps in coverage and no citator
Litigation associate searches for case law supporting a specific legal argument but keyword search returns 500+ results, most irrelevant — the actual proposition ('courts have held that X constitutes Y under Z standard') is buried across dozens of cases that happen to contain the same terms but reach different conclusions
European lawyers working in civil law jurisdictions need AI-powered research but every leading tool is built for US/UK common law — the legal reasoning is different, the source hierarchies are different, and the tools don't understand local codes, doctrine, or case law traditions
Where it fits in your workflow
Community Data
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