UK Courts Use AI to Help with Too Many Cases
UK Courts Use AI to Help with Too Many Cases
英國法院利用 AI 協助處理過多案件
Introduction
The UK government is using AI tools in courts. These tools help the courts work faster.
英國政府正在法院中使用 AI 工具，這些工具能幫助法院提高運作速度。
Main Body
There are too many court cases. There are more than 80,000 cases. Some people must wait until 2028 or 2030 for their trial.
目前的法院案件過多，已超過 8 萬件。有些人甚至必須等到 2028 年或 2030 年才能進行審理。
AI assistants help judges find information. A new tool called 'Justice Transcribe' writes notes for officers. This saves a lot of time.
AI 助手協助法官查找資訊。一款名為 「Justice Transcribe」 的新工具能為職員記錄筆記，節省大量時間。
Some lawyers are worried. They say AI can make mistakes. They say AI cannot understand people like humans do. The government will test the AI carefully first.
部分律師表示擔憂，他們認為 AI 可能會出錯，且 AI 無法像人類一樣理解他人。政府將會先對 AI 進行謹慎測試。
Conclusion
The UK is testing AI to make courts faster, but lawyers want to be careful.
英國正在測試 AI 以提高法院效率，但律師希望採取謹慎態度。
Vocabulary Learning
⏳ Talking about Time & Wait
In the text, we see: "Some people must wait until 2028".
The Secret Pattern:
Wait until [Time/Year]
Use this to talk about your future plans:
- I will wait until Monday.
- She waits until 5 o'clock.
- We wait until next year.
🛠️ Making Things Happen (Action Words)
Look at how these words move a story forward:
- Save To keep time or money (Example: This saves a lot of time).
- Test To check if something works (Example: The government will test the AI).
- Find To discover something (Example: Help judges find information).
Quick Tip: These are 'Power Verbs'. Use them to describe what a tool or a person does to solve a problem.
Vocabulary Learning
Using Artificial Intelligence to Reduce Case Backlogs in UK Crown Courts
利用人工智慧減少英國刑事法院的積案
Introduction
The UK government has announced the use of AI-powered legal assistants and administrative tools to solve the problem of long delays in the Crown Courts.
英國政府宣布將使用人工智慧（AI）法律助手與行政工具，以解決刑事法院長期延遲的問題。
Main Body
This initiative was caused by a serious increase in the Crown Court backlog, which reached over 80,000 cases earlier this year. This is more than double the 38,108 cases recorded in 2019. Some trials are not scheduled to be heard until 2028, and a few may not happen until 2030. To fix this, the Ministry of Justice (MoJ) is introducing AI assistants to help with case research and analysis. Additionally, judges will use new tools to identify cases that are ready for trial. The 'Justice Transcribe' tool has also been given to probation officers to automate notes, which is expected to save 18,750 working days per year. Similar systems are now being tested in immigration and asylum courts.
這項計畫是由於刑事法院積案嚴重增加所致，今年年初的積案數已超過 8 萬件。這比 2019 年記錄的 38,108 件多出一倍以上。部分審判甚至被排定到 2028 年才開庭，少數案件甚至可能要等到 2030 年。為了修正此問題，司法部 (MoJ) 正在引入 AI 助手以協助案件研究與分析。此外，法官將使用新工具來識別已準備好審判的案件。「Justice Transcribe」工具也已提供給緩刑監督員以自動化筆記，預計每年可節省 18,750 個工作日。類似的系統目前正於移民與庇護法院進行測試。
However, legal experts are cautious about these changes. Ian Jeffery from the Law Society emphasized that these tools must be transparent to be effective. He also asserted that technology should not replace the need for more funding and staff. Similarly, Andrew Thomas KC of the Criminal Bar Association noted that while AI can handle routine tasks, it does not have the emotional intelligence needed to evaluate complex criminal evidence. These worries are based on a real example where Microsoft Copilot created a false police report. Consequently, the government has ordered that all AI tools must be tested in controlled environments under strict ethical rules before they are fully used.
然而，法律專家對這些變革持謹慎態度。律師協會的 Ian Jeffery 強調，這些工具必須透明化才能發揮效用。他同時主張，技術不應取代對更多資金與人力需求的必要性。同樣地，刑事大律師協會的 Andrew Thomas KC 指出，雖然 AI 可以處理例行任務，但它缺乏評估複雜刑事證據所需的情感智能。這些擔憂源於一個真實案例，即 Microsoft Copilot 曾生成一份虛假的警察報告。因此，政府已下令所有 AI 工具在全面啟用前，必須在受控環境中根據嚴格的倫理規範進行測試。
Conclusion
The UK government is testing AI tools to improve court efficiency during a time of record-high case numbers, while legal professionals call for strict supervision.
英國政府在案件數量創新高的時期，正測試 AI 工具以提高法院效率，而法律專業人士則呼籲應進行嚴格監督。
Vocabulary Learning
🚀 From 'Basic' to 'Precise': Mastering Academic Verbs
At the A2 level, students rely on simple verbs like say, think, or do. To bridge the gap to B2, you must replace these 'general' words with 'precise' verbs. Look at how this article moves away from basic language to sound more professional.
🔍 The 'Say' Upgrade
In the text, the author doesn't just say that people "said something." Instead, they use Reporting Verbs to show the intention of the speaker:
- Emphasized Used when someone wants to make a point very strong. ("Ian Jeffery emphasized that...")
- Asserted Used when someone states something with confidence and authority. ("He also asserted that...")
- Noted Used to mention a specific fact or observation. ("Andrew Thomas KC noted that...")
B2 Tip: Stop using "He said that..." every time. Choose a verb that describes how the person is speaking.
⚙️ The 'Make/Do' Shift
B2 English uses specific verbs to describe processes. Notice these pairings in the article:
- Handle tasks (Not do tasks) To manage or deal with a responsibility.
- Evaluate evidence (Not look at evidence) To judge the value or truth of something carefully.
- Automate notes (Not make notes fast) To make a process happen automatically via a machine.
⚖️ Logic Connectors (The Glue)
To move past A2, you need to connect your ideas using more than just and, but, or because. The article uses these 'power connectors' to create a flow:
- Consequently (Result) "The AI made a mistake; consequently, the government ordered tests."
- Additionally (Adding info) "AI helps research; additionally, judges will use new tools."
- Similarly (Comparing) "Ian is cautious; similarly, Andrew Thomas has worries."
Vocabulary Learning
Integration of Artificial Intelligence within the United Kingdom's Crown Court System to Mitigate Case Backlogs.
在英國刑事法院系統導入人工智慧以緩解積案問題
Introduction
The UK government has announced the implementation of AI-powered legal assistants and administrative tools to address systemic delays in the Crown Courts.
英國政府宣布將實施由 AI 驅動的法律助手與行政工具，以解決刑事法院的系統性延遲問題。
Main Body
The initiative is predicated upon a critical escalation in the Crown Court backlog, which exceeded 80,000 cases earlier this year—a figure representing more than a twofold increase relative to the 38,108 cases recorded in 2019. Data indicates that certain trials are not scheduled for adjudication until 2028, with a minority extending to 2030. To counteract this, the Ministry of Justice (MoJ) is introducing AI legal assistants to facilitate case analysis and research, alongside tools for judges to identify trial-ready cases and consolidate similar hearings. Furthermore, the 'Justice Transcribe' tool has been deployed for probation officers in England and Wales to automate the transcription of offender interactions, a measure estimated to reduce administrative burdens by 18,750 calendar days annually. Similar systems are currently being piloted within immigration and asylum tribunals.
此舉是基於刑事法院積案嚴重增加，今年早些時候積案數已超過 80,000 宗，較 2019 年記錄的 38,108 宗增加兩倍以上。數據顯示，部分審理案件甚至要到 2028 年才排定日期，少數甚至延至 2030 年。為了應對此狀況，司法部 (MoJ) 正引入 AI 法律助手以協助案件分析與研究，並提供工具讓法官識別已準備好審理的案件及合併相似的聽證會。此外，「Justice Transcribe」工具已部署於英格蘭和威爾斯的 the 緩刑官員之中，將與罪犯的互動自動轉錄為文字，預計每年可減少 18,750 個曆日的行政負擔。類似系統目前正於移民與庇護法庭進行試行。
Stakeholder reception remains cautious. The Law Society of England and Wales, represented by Chief Executive Ian Jeffery, has stipulated that the transparency of trial outcomes is a prerequisite for efficacy and has emphasized that technological integration must not substitute for essential funding and staffing. Concurrently, Andrew Thomas KC of the Criminal Bar Association has noted that while AI may optimize routine tasks, it lacks the socio-emotional intelligence required for the nuanced evaluation of criminal evidence. These concerns are underscored by a documented instance of an 'AI hallucination' involving Microsoft Copilot, which contributed to an erroneous police report regarding football supporters. Consequently, the government has mandated that AI tools undergo testing in controlled environments under strict ethical frameworks prior to full deployment.
利益相關者的反應則較為謹慎。英格蘭和威爾斯法律協會首席執行官 Ian Jeffery 表示，審理結果的透明度是確保成效的前提，並強調技術整合絕不能取代必要的資金與人力投入。同時，刑事大律師協會的 Andrew Thomas KC 指出，雖然 AI 能優化常規任務，但缺乏對刑事證據進行細膩評估所需的社會情緒智能。這些憂慮在一次記錄在案的「AI 幻覺」事件中得到印證，當時 Microsoft Copilot 導致一份關於足球支持者的警察報告出現錯誤。因此，政府已規定 AI 工具在全面部署前，必須在嚴格的倫理框架下於受控環境中經過測試。
Conclusion
The UK government is currently piloting AI tools to enhance judicial efficiency amidst record-high case volumes, while legal professionals advocate for rigorous oversight.
英國政府目前正試行 AI 工具以在案件量創紀錄的高峰期提升司法效率，而法律專業人士則主張應進行嚴格監督。
Vocabulary Learning
The Architecture of Formal Precision: Nominalization & Prepositional Density
To move from B2 (where communication is clear but often 'verb-heavy') to C2, a student must master the art of Nominalization. This is the linguistic process of transforming verbs or adjectives into nouns to create a dense, objective, and authoritative academic register.
⚖️ The 'C2 Shift' in Action
Look at the contrast between a B2 construction and the article's C2 phrasing:
- B2 approach: The government is doing this because the number of cases in the Crown Court has increased critically.
- C2 approach: *"The initiative is predicated upon a critical escalation in the Crown Court backlog..."
Why this is superior: The C2 version removes the subject-centric 'doing' and replaces it with a conceptual relationship. "Predicated upon" (based on) and "critical escalation" (the act of increasing) shift the focus from the actor to the phenomenon.
🔍 Deconstructing the 'Abstract String'
C2 prose often utilizes "Noun Clusters" where a sequence of nouns and prepositions creates a high-information density.
*"...the transparency of trial outcomes is a prerequisite for efficacy..."
Analysis:
- Transparency (Abstract Noun) of trial outcomes (Qualifier) is a prerequisite (Defining state) for efficacy (Purpose).
This chain avoids the clunkiness of relative clauses (e.g., "The fact that outcomes are transparent, which is necessary if the system is to be effective"). It transforms a narrative into a legal axiom.
🛠️ Advanced Lexical Precision
Note the use of nuanced verbs and collocations that signal a high-level command of the language:
- "Mitigate case backlogs": Mitigate is precisely calibrated; it doesn't mean 'solve' (which is often impossible), but 'make less severe'.
- "Substitute for": Used here not as a simple replacement, but as a systemic displacement of resources.
- "Underscored by": A sophisticated alternative to 'highlighted' or 'proven', implying a foundational support for an argument.
💡 Mastery Tip: The 'Socio-Emotional' Compound
Observe the term "socio-emotional intelligence." C2 learners should move beyond simple adjectives to composite modifiers. By blending sociological and psychological domains into one descriptor, the writer achieves a level of precision that defines professional and academic discourse.