Electronic signature PDF for HR Myself
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FAQs
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As a startup founder of three years our legal housekeeping is a bit of mess, how can I best setup a system to organize and track
As a startup founder of three years myself, I can relate to how legal housekeeping can be messy. Once a year, I have our own lawyers go through and do an audit of all of our legal paperwork (which costs a couple thousand dollars to be extremely thorough, but it’s worth it). Luckily, there are now many ways to easily manage and track all of your legal, financial, and HR documents via third-party sites that specialize in these management proceedings. I wrote a blog post about this awhile back titled “5 Ways to Save Time Dealing With Documents” which highlights certain sites that can be very beneficial depending on what paperwork you’d like to track or manage. They are as follows:1. GroupDocsGroupDocs is a new, comprehensive online service for document creation and management. It has multiple features, including a viewer for reading documents in your browser, an electronic signature service, an online document converter, a document assembly service, a feature for comparing different versions of a document, and an annotation feature. An individual plan is $10 per month for limited storage and 500 documents, while a group plan for up to 9 people is $19 per user per month. Based on the number of features and pricing, GroupDoc is a good-value purchase for a small business. As you’ll see below, GroupDocs can be cheaper than a service that offers only one such feature.2. signNowWhen you’re closing a deal and need to get documents signed, the last thing you need is a slow turnaround due to fax machine problems or the postal service. The solution is to use an electronic signature service such as signNow, which is one of the most popular e-signature companies in the world. This service allows you to email your documents to the person whose signature you need. Next, the recipient undergoes a simply e-signing process, and then signNow alerts you when the process is completed. Finally, signNow electronically stores the documents, which are accessible at any time. As a result, you can easily track the progress of the signature process and create an audit trail of your documents. The “Professional” plan is recommended for sole proprietors and freelancers, and costs $180 per year ($15 per month) for up to 50 requested signatures per month. The “Workgroup” plan is geared towards teams and businesses, and it costs $240 per user per year ($20 per month per user), for unlimited requested signatures.3. signNowsignNow is another e-signature service. Similar to signNow, signNow allows you to upload a PDF file, MS Word file or web application document. Next, you can edit the document, such as by adding initials boxes or tabs, and then email them out for signatures. Once recipients e-sign the document, signNow notifies you and archives the document. signNow offers low rates for these services: a 1-person annual plan with unlimited document sending costs $11 per month. An annual plan for 10 senders with unlimited document sending costs only $39 per month.4. ExariExari is a document assembly and contract management service that assists in automating high-volume business documents, such as sales agreements or NDAs. First, the document assembly service allows authors to create automated document templates. No technical knowledge is required; most authors are business analysts and lawyers. Authors have a variety of options for customizing documents, such as fill-in-the-blank fields, optional clauses, and dynamic updating of topic headings. They also can add questions that the end user must answer. Once you send out the document, the user answers the questionnaire, and Exari uses that data to customize the document. Next, the contract management feature allows you to store and track both the templates and the signed documents. Pricing is based on the size and scope of your planned implementation, so visit their website for more information.5. FillanyPDFIt’s a hassle having to print out PDF forms in order to complete them. Fortunately, FillanyPDF is a service that allows you to edit, fill out and send any PDFs, while entirely online. This “Fill & Sign” plan costs $5 per month, or $50 per year. If you subscribe to the “Professional” plan, you can also create fillable PDFs using your own documents. With this service, any PDF, JPG or GIF file becomes fillable when you upload it to the site. You can modify a form using white-out, redaction and drawing tools. Then, you can email a link to your users, who can fill out and e-sign your form on the website. FillanyPDF also allows you to track who filled out your forms, and no downloads are necessary to access these services. The “Professional” plan costs $49 per month, or $490 per year.Switching firms can be a hassle. As a former startup attorney, I have a bit of advice about finding the right attorney for your business: it’s best to focus on the specific attorney you’ll be working with. He or she should have a solid understanding of the ins and outs of your business industry, a deep knowledge of the legal issues your startup may face, and previous work experience with startups to ensure a quality and efficient work product. This is absolutely key when matching our startup clients at UpCounsel to attorneys on our platform who can perform their legal work and hash out their legal projects in a timely manner. We also allow clients to store any and all of their legal documents directly on UpCounsel so they don’t have to go searching in alternative places for the correct paperwork. It’s proven to be a free and lightweight way to store legal documents that our clients love. Here's what it looks like:As I’ve mentioned, it’s more important to find the right attorney as opposed to the right law firm. And seeing as you’re a startup, our own startup clients typically save an average of 50-60% on their legal work, since the attorneys don't include overhead fees (a.k.a. the fees included for doing business with the firm itself) in their invoices.Hope this gives you a deeper look into what other sites and services are out there. If you have any questions or would like more information on how best to handle your legal housekeeping/ attorney matters, feel free to signNow out to me directly. As a former startup attorney at Latham & Watkins, I’d be happy to give you some guidance.
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Do your chances of getting a data science job increase if you write a cover letter?
Thanks for the A2A. The answer depends to a small extent on the place you're applying to, and to a great extent on the cover letter. I personally find them going the way of the dodo, and for the right reasons, but every once in a while I read a cover letter that genuinely benefits me as the interviewer. Remember the principal aim of the cover letter is to make sure we don't bin your application. We'll get to know you during the interview, so this isn't the time to tell us about your passion for breeding Wyandotte chickens. Rather, it's a way to add some context to things that would normally result in circular filing. Wherever I've conducted interviews, I've insisted we read all cover letters and discussed them, separately from the CV, and after the CV. In quite a few cases, it's hurt more than it helped, but sometimes, especially for people from minority backgrounds in tech (women, persons with disabilities, African-Americans, Hispanics, etc.), a good cover letter showing ambition and hunger can make up for a lot of lacking experience or seniority. DO NOT write a cover letter if: * You're applying for a specific job via an online interface, and it's not explicitly requested and there's no separate upload slot for it. That means we don't want it. Some people STILL put one in front of their CV. I don't care, but to a number of data scientists, some fairly senior ones, this is a sign of an inability to follow simple instructions, and you're already starting from a disadvantage. * You have nothing of substance to say in it. If you're putting it in because you've learned that it's customary to have a cover letter, or because you see you can upload one (but it's not necessary) and you are just going to put in some two-line string of courtesies, save some electrons and skip it. * You don't know how to write a good one. A cover letter can hurt you, and hurt you real bad. Communicating insights is an essential and indispensable part of being a data scientist, and if your cover letter is formally ugly, badly written or full of grammar errors, fix it or skip it. If you have a recruiter, ask them to help you with the content and formatting, and use someone reliable for fixing your grammar. There are CV consultants who also can advise on cover letters, but these are often pricey services for that first DS job. * You get to submit a free-form CV, e.g. via PDF upload, and there are no other circumstances that justify it. A free-form CV means you get to talk about whatever you'd like to, in as much detail as is fit to print. So if you've written a Latent Dirichlet Allocation based text classifier in Brainf.ck, I'd expect to see that on your CV, not the cover letter. Don't repeat stuff. * You intend to lie. Someone at some point spread the weird meme that you can't lose your job for being less than truthful in your cover letter, as opposed to your CV. That's nonsense. Be honest. Always. ALWAYS. * You know, from your recruiter, that the place you're applying to doesn't like them, or doesn't read them. Your recruiter, if worth their salt, will know this. In general, startups prefer impressive CVs and no cover letters if they can at all be avoided. * You lack an essential skill. Emphasis on essential. These days, most job descriptions are a little over the top, sometimes asking for 5 years' experience in technologies that have been around for no more than three. So if the job description asks you for five years' experience but you've spent two years leading development on a successful, major project, the cover letter is a good place to explain this. But if we're looking for a PL/SQL developer and you can't tell your `SELECT` from your `UPDATE`, don't even try. Rarely, if you lack one of several required technologies, and it's a relatively small chunk, it might be useful to say 'I don't have a lot of experience with KNIME, but I have been taking online classes on it, worked through tutorials and I expect to be up to speed in a few weeks, plus, I've worked a lot with Orange, which is similar'. But when you offer alternate skills, make sure they're relevant. When looking for a SQL developer, not knowing PL/SQL but being good with embedded C is not really going to work – sorry. * You want to spend it kvetching. A year ago, I interviewed a young man for a data science role. His CV was ok – actually, well enough to hire. But his (optional!) cover letter was a long list of grievances about his current employer. Even if true, this is not the time or the place. The same goes for cover letters that tell a long sob story about being hard done by life. I don't mind mentioning adversity and how you overcame it and grew from the experience, but if the whole thing is a ten-page history of every misdeed of this universe against you, I will have some serious doubts. People who make it big in data science are resilient, because so much of our job requires us to be resilient. Models break, data quality is often bad, and so on. * You are banking on pity points. No good company hires out of pity. When describing less than optimal circumstances, be objective and neutral. Chances are, somebody on the interview committee did have it worse than you. * You are going to make wild promises. Our job is to assess your potential. We do an ok job of it, and the HR professionals who back us up are consummate professionals at it. So when I see promises in cover letters that tell me you're going to revolutionise data science, double our revenue, bring in six hundred clients and create a new deep learning framework in the process, I get red flags. * You intend to write more than a page. Just don't. It's a cover page. Together with address bars etc., it should not be longer than a page. And please, please make sure it has a signature, and you get the addressing right. If you begin with `Dear Sir/Madam`, then you conclude with `Yours truly`, otherwise it's `Yours sincerely`. A good cover letter is addressed at a specific person, usually the HR contact person you've been in touch with. DO write a cover letter if: * This is your first data science job, and you don't have a relevant degree. This is a great time for us to hear a little about why you shifted to data science, and how you accomplished it. Don't turn it into a sob story, but I'll always be very sympathetic towards a candidate who tells an uplifting story about overcoming adversity to get where they are. * You have a signNow employment gap. It may be enough to just say 'I spent 2012–2013 on maternity leave with my first child' or 'Between 2015 and 2017, I had to take care of my terminally ill grandfather, but took the opportunity to return to full-time employment after his passing." There, now we know what was up. It's a little more complicated if you have been away for health reasons. As someone who was in this situation, I usually used a turn of phrase that worked quite well: "Between x and y, a rare disease forced me to abandon full-time employment and focus on my health. Besides overcoming my illness, I have during this time also taught myself Python." This is great because it points out that you're all better now, and you used your time wisely. For advice on dealing with such a gap in employment, please talk to your recruiter. * You have a serious issue, such as a felony conviction. We will find out, so this is your chance to mitigate. A less serious version of this is if you dropped out of university/college. Explaining why is going to make sure we won't assume. Use this chance to give us your position. To a much lesser extent, this goes for bad grades. * You have a lot of short stints. Recruiting is expensive. An interview with a senior and a mid-level to junior member of the average data science outfit, including prep, costs about $5,000 in lost productivity. We are not going to spend this on someone who is going to leave after three months. If you developed so fast that you went up the ladder each time, we may consider you, but if you have a good reason (and 'I still haven't found what I am looking for' might be tolerable song lyrics, but an insufficient reason to hop jobs), we'll understand. Tough economy, willing to learn new technologies, contract jobs, niche speciality, etc. – these will all work fine. * You have a unique or interesting motivation for going into the field. "It's interesting" and "curiosity" are good but not unique. When I ran interviews for my law school alma mater, I heard a young man from a Caribbean family recount how his older brother was falsely convicted of a burglary he did not commit in face of overwhelming exculpatory evidence, and how this made him want to become a lawyer to assist others in his situation. That's the kind of story I like to see. But keep it to no more than a paragraph. * You have some super cool achievements that you couldn't squish into your CV, such as being a Python core contributor or, to reuse an example from above, writing a deep learning engine in Brainf.ck. * You are a signNow open source contributor with some really high quality work, but there's no place to link to your Github profile. Just slip it in somewhere that you hope that in the meantime we'll peruse your Github account. * You're doing some signNow outsignNow in your free time, such as teaching disadvantaged urban youngsters to code. Again, don't go overboard with it, but this is your chance to weave it into your life story. * You need to send your application by post. In this case, it's customary. * The application expressly requires one. I hope these principles have helped you decide whether to use a cover letter or not. In general, I have maybe seen cover letters make a difference twice out of hundreds of interviews, but in some cases, they can explain some situations that would at the very worst get your application binned before an in-person interview. As always, a good, strong CV and a strong professional record, including a website where you write about data science, is more helpful. So is a 'show and tell' – I always bring some code to interviews, or a little app I've developed, or something similar to show off. It's a fun icebreaker and makes the whole thing more memorable. These are all great ways to show your individuality at an interview, but before that, if your CV doesn't allow you to do so, and you need to clarify something, the cover letter may be your best chance.
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