u/rohasnagpal

I've tried more than 50 Legal AI tools and wrappers. Most of them add a nicer interface, a few predefined workflows, and a legal label on top of capabilities that are already available in general-purpose AI.

For a large part of everyday legal work, I think there is a simpler alternative:

Use the right models of ChatGPT, Claude or Grok, with web search, strong skills / plugins, and the right prompts.

So before you spend on Legal AI solutions, try the simpler alternative.

Case Law Analyst is a Claude Agent Skill that turns judgments, orders, headnotes and case excerpts into litigation-ready case notes.

It is designed as a working document for lawyers preparing for a hearing, opinion, conference or research task.

Every authority is analysed in 10 parts:

1. Case snapshot
2. Material facts
3. Procedural history
4. Issues
5. Holding / decision
6. Ratio decidendi
7. Obiter / persuasive observations
8. Reasoning
9. How to use it
10. How to distinguish it

Get it here: https://raw.githubusercontent.com/rohasnagpal/claude-skills/main/dist/case-law-analyst.zip

Read the details here: https://github.com/rohasnagpal/claude-skills/blob/main/skills/case-law-analyst/SKILL.md

I gave 9 leading AI models the 2025 All India Bar Examination. Same questions. Same settings. No access to the answer key.

The results:

1. GPT-5.6 Sol: 100.0%

2. Kimi K3: 97.9%

3. Grok 4.5: 97.9%

4. GPT-5.6 Terra: 93.7%

5. GPT-5.6 Luna: 92.6%

6. Claude Opus 5: 92.6%

7. Claude Sonnet 5: 81.1%

8. Claude Haiku 4.5: 73.7%

9. DeepSeek V4 Flash: 40.0%

The cost per run was:

1. GPT-5.6 Sol: $0.2134

2. Kimi K3: $0.3003

3. Grok 4.5: $0.3066

4. GPT-5.6 Terra: $0.1350

5. GPT-5.6 Luna: $0.0601

6. Claude Opus 5: $0.2611

7. Claude Sonnet 5: $0.0582

8. Claude Haiku 4.5: $0.0279

9. DeepSeek V4 Flash: $0.0030

Claude Opus 5 answered 90 of the 95 scored questions correctly in the 2025 All India Bar Examination (AIBE), achieving an accuracy of 94.7%.

The AIBE tests whether a law graduate has the minimum level of legal knowledge expected of a practising advocate in India. That’s a meaningful benchmark for any model intended to assist lawyers.

For details on how the test was conducted, please see the detailed blog post: https://aibenchmarks.substack.com/p/claude-opus-5-scored-947-on-the-all

Claude Opus 5 scored 94.7% on the All India Bar Examination

Claude Opus 5 answered 90 of the 95 scored questions correctly in the 2025 All India Bar Examination (AIBE), achieving an accuracy of 94.7%.

The AIBE tests whether a law graduate has the minimum level of legal knowledge expected of a practising advocate in India. That’s a meaningful benchmark for any model intended to assist lawyers.

For details on how the test was conducted, please see the detailed blog post: https://aibenchmarks.substack.com/p/claude-opus-5-scored-947-on-the-all

https://preview.redd.it/r8o2q8y8ubgh1.png?width=1456&format=png&auto=webp&s=384820257de816b33d8a8e6f342c347e1de053ba

Claude Opus 5 answered 90 of the 95 scored questions correctly in the 2025 All India Bar Examination (AIBE), achieving an accuracy of 94.7%.

The AIBE tests whether a law graduate has the minimum level of legal knowledge expected of a practising advocate in India. That’s a meaningful benchmark for any model intended to assist lawyers.

For details on how the test was conducted, please see the detailed blog post: https://aibenchmarks.substack.com/p/claude-opus-5-scored-947-on-the-all

https://preview.redd.it/7i49p4l9ubgh1.png?width=1456&format=png&auto=webp&s=b49fa3977f4eafd96e7ab458cb4dd0dd7378e00c

The United Nations Office on Drugs and Crime (UNODC) estimates that 2% to 5% of global GDP is laundered every year.

Now consider this:

• Cryptocurrencies transferred approximately $100 trillion on-chain in 2025.
• Stablecoins alone transferred approximately $46 trillion.
• USDT and USDC together transferred approximately $33 trillion, exceeding the annual GDP of the United States.

If the same broad range used by UNODC were applied to cryptocurrency transaction volumes, it would imply $2–5 trillion in potential laundering flows.

Cryptocurrencies have become a global financial infrastructure handling value comparable to the world's GDP.

Are we significantly underestimating the scale of cryptocurrency-enabled financial crime?

The United Nations Office on Drugs and Crime (UNODC) estimates that 2% to 5% of global GDP is laundered every year.

Now consider this:

• Cryptocurrencies transferred approximately $100 trillion on-chain in 2025.
• Stablecoins alone transferred approximately $46 trillion.
• USDT and USDC together transferred approximately $33 trillion, exceeding the annual GDP of the United States.

If the same broad range used by UNODC were applied to cryptocurrency transaction volumes, it would imply $2–5 trillion in potential laundering flows.

Cryptocurrencies have become a global financial infrastructure handling value comparable to the world's GDP.

Are we significantly underestimating the scale of cryptocurrency-enabled financial crime?

I tested OpenAI’s GPT-5.6 Sol on 4 legal examinations across the UK and India.

Its scores:

•⁠ ⁠SQE1 – Functioning Legal Knowledge 1: 97.3%

•⁠ ⁠SQE1 – Functioning Legal Knowledge 2: 94.6%

•⁠ ⁠All India Bar Examination: 100%

•⁠ ⁠CLAT Postgraduate: 86.5%

https://preview.redd.it/od8hb9y6exfh1.png?width=1542&format=png&auto=webp&s=c3a1fa91f4cba73891ffcd7931363a255e1be55f

I tested OpenAI’s GPT-5.6 Sol on 4 legal examinations across the UK and India.

Its scores:

•⁠ ⁠SQE1 – Functioning Legal Knowledge 1: 97.3%

•⁠ ⁠SQE1 – Functioning Legal Knowledge 2: 94.6%

•⁠ ⁠All India Bar Examination: 100%

•⁠ ⁠CLAT Postgraduate: 86.5%

https://preview.redd.it/zcexkyz7exfh1.png?width=1542&format=png&auto=webp&s=9c6cf7fa324aa94bcdb5308858e7cff7718542d4

I tested OpenAI’s GPT-5.6 Sol on 4 legal examinations across the UK and India.

Its scores:

•⁠ ⁠SQE1 – Functioning Legal Knowledge 1: 97.3%

•⁠ ⁠SQE1 – Functioning Legal Knowledge 2: 94.6%

•⁠ ⁠All India Bar Examination: 100%

•⁠ ⁠CLAT Postgraduate: 86.5%

https://preview.redd.it/k8hku4t8exfh1.png?width=1542&format=png&auto=webp&s=f772d995ee4e8a2d3e6cb421f18001afc0a9d1f5

I tested OpenAI’s GPT-5.6 Sol on 4 legal examinations across the UK and India.

Its scores:

•⁠ ⁠SQE1 – Functioning Legal Knowledge 1: 97.3%

•⁠ ⁠SQE1 – Functioning Legal Knowledge 2: 94.6%

•⁠ ⁠All India Bar Examination: 100%

•⁠ ⁠CLAT Postgraduate: 86.5%

https://preview.redd.it/59d94oh9exfh1.png?width=1542&format=png&auto=webp&s=c3810f17e3dc728d60d776f291556f34a4fcb0b4

I gave 9 leading AI models the 2025 All India Bar Examination. Same questions. Same settings. No access to the answer key.

The results:

1. GPT-5.6 Sol: 100.0%
2. Kimi K3: 97.9%
3. Grok 4.5: 97.9%
4. GPT-5.6 Terra: 93.7%
5. GPT-5.6 Luna: 92.6%
6. Claude Opus 5: 92.6%
7. Claude Sonnet 5: 81.1%
8. Claude Haiku 4.5: 73.7%
9. DeepSeek V4 Flash: 40.0%

The cost per run was:

1. GPT-5.6 Sol: $0.2134
2. Kimi K3: $0.3003
3. Grok 4.5: $0.3066
4. GPT-5.6 Terra: $0.1350
5. GPT-5.6 Luna: $0.0601
6. Claude Opus 5: $0.2611
7. Claude Sonnet 5: $0.0582
8. Claude Haiku 4.5: $0.0279
9. DeepSeek V4 Flash: $0.0030

The conclusion? Choosing a Legal AI model is a critical quality-control decision.

Note: The benchmark used the 2025 All India Bar Examination. Five withdrawn questions were excluded, leaving 95 scored questions. Each question was submitted independently, and every response was scored server-side against the official final answer key.

https://preview.redd.it/6fn4qr6ubjfh1.png?width=2312&format=png&auto=webp&s=889c40f6eb0966a3ab5c61dd9ce32ca1ef00c993

I gave 9 leading AI models the 2025 All India Bar Examination. Same questions. Same settings. No access to the answer key.

The results:

1. GPT-5.6 Sol: 100.0%
2. Kimi K3: 97.9%
3. Grok 4.5: 97.9%
4. GPT-5.6 Terra: 93.7%
5. GPT-5.6 Luna: 92.6%
6. Claude Opus 5: 92.6%
7. Claude Sonnet 5: 81.1%
8. Claude Haiku 4.5: 73.7%
9. DeepSeek V4 Flash: 40.0%

The cost per run was:

1. GPT-5.6 Sol: $0.2134
2. Kimi K3: $0.3003
3. Grok 4.5: $0.3066
4. GPT-5.6 Terra: $0.1350
5. GPT-5.6 Luna: $0.0601
6. Claude Opus 5: $0.2611
7. Claude Sonnet 5: $0.0582
8. Claude Haiku 4.5: $0.0279
9. DeepSeek V4 Flash: $0.0030

The conclusion? Choosing a Legal AI model is a critical quality-control decision.

Note: The benchmark used the 2025 All India Bar Examination. Five withdrawn questions were excluded, leaving 95 scored questions. Each question was submitted independently, and every response was scored server-side against the official final answer key.

https://preview.redd.it/ehyj50jtbjfh1.png?width=2312&format=png&auto=webp&s=02780301ebd8f7706f3ba9e9c0a9a1f871082b56

I gave 9 leading AI models the 2025 All India Bar Examination. Same questions. Same settings. No access to the answer key.

The results:

1. GPT-5.6 Sol: 100.0%
2. Kimi K3: 97.9%
3. Grok 4.5: 97.9%
4. GPT-5.6 Terra: 93.7%
5. GPT-5.6 Luna: 92.6%
6. Claude Opus 5: 92.6%
7. Claude Sonnet 5: 81.1%
8. Claude Haiku 4.5: 73.7%
9. DeepSeek V4 Flash: 40.0%

The cost per run was:

1. GPT-5.6 Sol: $0.2134
2. Kimi K3: $0.3003
3. Grok 4.5: $0.3066
4. GPT-5.6 Terra: $0.1350
5. GPT-5.6 Luna: $0.0601
6. Claude Opus 5: $0.2611
7. Claude Sonnet 5: $0.0582
8. Claude Haiku 4.5: $0.0279
9. DeepSeek V4 Flash: $0.0030

The conclusion? Choosing a Legal AI model is a critical quality-control decision.

Note: The benchmark used the 2025 All India Bar Examination. Five withdrawn questions were excluded, leaving 95 scored questions. Each question was submitted independently, and every response was scored server-side against the official final answer key.

https://preview.redd.it/p5c9hd0tbjfh1.png?width=2312&format=png&auto=webp&s=6bd37f8fc30fba9fe4378ec1c4ffee0355a76a94

I am building Indian Law 100, an open source benchmark for measuring how accurately an AI model applies Indian law to concrete facts. 

It contains 100 self-contained micro cases across 13 legal domains, 3 difficulty tiers, and deliberate traps for outdated or repealed law.

Looking for help from experienced Indian lawyers to finalise these micro cases and their gold-standard answers.

Please DM me if you would like to volunteer some time for this.

I am building Indian Law 100, an open source benchmark for measuring how accurately an AI model applies Indian law to concrete facts. 

It contains 100 self-contained micro cases across 13 legal domains, 3 difficulty tiers, and deliberate traps for outdated or repealed law.

Looking for help from experienced Indian lawyers to finalise these micro cases and their gold-standard answers.

Please DM me if you would like to volunteer some time for this.

I am building Indian Law 100, an open source benchmark for measuring how accurately an AI model applies Indian law to concrete facts. 

It contains 100 self-contained micro cases across 13 legal domains, 3 difficulty tiers, and deliberate traps for outdated or repealed law.

Looking for help from experienced Indian lawyers to finalise these micro cases and their gold-standard answers.

Please DM me if you would like to volunteer some time for this.